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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. 10780
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    Explanations

    affirmative responses

    oai_token-act-pair · gpt-3.5-turbo

    affirmative responses to questions

    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
    bage
    -0.79
     ILCS
    -0.74
    RAW
    -0.73
    posted
    -0.73
    ded
    -0.72
    liner
    -0.71
    20439
    -0.69
    ufact
    -0.66
    enegger
    -0.66
    liners
    -0.65
    POSITIVE LOGITS
    terday
    1.40
     sir
    0.88
     yes
    0.84
    sis
    0.77
    yne
    0.76
    YES
    0.76
    yes
    0.76
     Yes
    0.76
     YES
    0.73
     kidding
    0.73
    Activations Density 0.019%

    No Known Activations