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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. 9-RES-JB
    11. 1805
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ership
    -0.85
    ern
    -0.81
    rez
    -0.72
    ERN
    -0.70
    kson
    -0.70
    ajor
    -0.69
    stantial
    -0.68
    ollow
    -0.67
    -|
    -0.67
     CFR
    -0.67
    POSITIVE LOGITS
     pageant
    1.13
     salon
    0.81
     queen
    0.79
    cean
    0.76
     contests
    0.74
    istry
    0.73
     secrets
    0.72
     Flavoring
    0.72
     potion
    0.70
    comb
    0.70
    Activations Density 0.053%

    No Known Activations