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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. 12870
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    Explanations

    proper nouns related to people's names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly those with the last name Norton

    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
    hips
    -0.79
    ramid
    -0.75
    board
    -0.74
    rencies
    -0.73
    eners
    -0.73
     paran
    -0.70
    atted
    -0.69
    behind
    -0.67
    76561
    -0.67
    ebook
    -0.67
    POSITIVE LOGITS
     Norton
    1.04
    cliffe
    0.89
    shire
    0.82
    IFIED
    0.76
     Fowler
    0.72
    SSL
    0.72
    ragon
    0.69
    ham
    0.68
    forth
    0.66
    ificate
    0.63
    Activations Density 0.008%

    No Known Activations