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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. 9130
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    Explanations

    mentions of specific names or proper nouns, particularly last names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly athletes and public figures

    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
    ãĥ¤
    -0.81
    20439
    -0.78
    ivities
    -0.74
    #$
    -0.71
    idges
    -0.70
    ICLE
    -0.69
    ANGE
    -0.69
    ICAL
    -0.69
    åº
    -0.69
    ICS
    -0.68
    POSITIVE LOGITS
     Diaz
    1.08
    ragon
    0.85
    illo
    0.78
    ega
    0.74
    otti
    0.73
    assault
    0.73
     aux
    0.72
    etti
    0.71
    pill
    0.67
    educ
    0.66
    Activations Density 0.009%

    No Known Activations