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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 15105
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    Explanations

    mentions of occurrences that happened for the first time or at specific intervals

    oai_token-act-pair · gpt-3.5-turbo

    instances of phrases indicating a recurrence or frequency of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    00200000
    -0.74
    asper
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     ãĤµ
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    bay
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     [|
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     Debian
    -0.55
     debian
    -0.55
    iquid
    -0.55
     Bened
    -0.54
     Ajax
    -0.54
    POSITIVE LOGITS
     remotely
    0.89
     anywhere
    0.85
     ever
    0.74
    since
    0.73
     nor
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     besides
    0.70
    perty
    0.70
    esides
    0.68
    dule
    0.67
     since
    0.66
    Activations Density 0.584%

    No Known Activations