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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. 16394
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    Explanations

    words related to attraction or desirability

    oai_token-act-pair · gpt-3.5-turbo

    words related to attractiveness or appeal

    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
    Ñĥ
    -0.76
     Colleges
    -0.76
    ifa
    -0.72
    FT
    -0.69
     Berk
    -0.67
    apy
    -0.66
     Rost
    -0.66
    miah
    -0.66
     Cous
    -0.66
    BT
    -0.65
    POSITIVE LOGITS
     Flavoring
    0.97
     appeal
    0.91
    minist
    0.85
    ingly
    0.83
    yrinth
    0.83
     appealing
    0.82
    ĸļ
    0.82
    ously
    0.81
    ocene
    0.80
    ikawa
    0.79
    Activations Density 0.012%

    No Known Activations