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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. 4-RES-JB
    11. 17225
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating contributions to various topics or reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WIND
    -0.68
    hots
    -0.67
    HUD
    -0.66
    BuyableInstoreAndOnline
    -0.66
    CHAT
    -0.65
    mare
    -0.65
    DOWN
    -0.64
    STAT
    -0.64
    DragonMagazine
    -0.64
    TIT
    -0.64
    POSITIVE LOGITS
     compensate
    0.83
     counteract
    0.76
     fund
    0.75
     offset
    0.75
     behalf
    0.74
     accumulate
    0.73
     propagate
    0.73
     ensure
    0.72
     sustain
    0.72
     assist
    0.71
    Activations Density 0.102%

    No Known Activations