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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 6250
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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
    Footnote
    -0.70
    */
    -0.68
    âĨij
    -0.67
    INTON
    -0.65
    ogeneity
    -0.63
    eter
    -0.62
    Others
    -0.62
    anger
    -0.61
     traged
    -0.61
    Versions
    -0.61
    POSITIVE LOGITS
    rael
    1.10
     pleased
    0.99
     rated
    0.96
     hereby
    0.92
     proud
    0.90
    senal
    0.90
    ometric
    0.82
     thrilled
    0.81
     saddened
    0.76
     slated
    0.75
    Activations Density 0.157%

    No Known Activations