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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. 6-RES-JB
    6. 8293
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    Explanations

    text related to items of high value or importance

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    edia
    -0.88
    wright
    -0.69
    ischer
    -0.69
     Judith
    -0.68
    odcast
    -0.68
    isco
    -0.67
    uca
    -0.66
     Ezek
    -0.66
     1954
    -0.65
    ooked
    -0.65
    POSITIVE LOGITS
    romeda
    0.87
     baggage
    0.84
     configurations
    0.82
     subsequ
    0.81
     cumbers
    0.81
     hence
    0.78
     resources
    0.77
     consequently
    0.77
     adaptations
    0.74
     thous
    0.74
    Activations Density 0.402%

    No Known Activations