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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. 7-RES-JB
    11. 8778
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals' names, particularly those of notable figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    establishment
    -0.71
    ucker
    -0.71
    izoph
    -0.70
    essions
    -0.70
    essee
    -0.70
    irst
    -0.69
    idem
    -0.68
    uador
    -0.68
    ymes
    -0.67
    INESS
    -0.65
    POSITIVE LOGITS
    na
    1.02
    tti
    0.94
    lynn
    0.86
    nda
    0.86
    nce
    0.85
     Seym
    0.83
    ti
    0.83
    lene
    0.82
    abeth
    0.81
    tta
    0.81
    Activations Density 0.078%

    No Known Activations