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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. 3-RES-JB
    11. 20571
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otaur
    -0.75
    ickr
    -0.71
    asio
    -0.70
    akov
    -0.70
    enegger
    -0.69
    esthetic
    -0.68
    illard
    -0.68
    ixel
    -0.67
    ocations
    -0.67
    obar
    -0.66
    POSITIVE LOGITS
     unchecked
    0.88
     uncontrolled
    0.72
     unaccompanied
    0.71
     untreated
    0.70
    ãĥĨ
    0.69
     baggage
    0.69
     Territories
    0.68
    Ô
    0.66
    Roaming
    0.66
    Unt
    0.65
    Activations Density 0.019%

    No Known Activations