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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. 15349
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    Explanations

    words related to admiration or positive opinion

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "impress" and its variations

    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
    interrupted
    -0.67
     sovere
    -0.66
    angled
    -0.65
    nown
    -0.63
    enfranch
    -0.62
    sung
    -0.61
    nia
    -0.61
     amino
    -0.60
     hijacked
    -0.60
    turn
    -0.60
    POSITIVE LOGITS
    ively
    1.00
    ments
    0.95
    mented
    0.93
    ered
    0.79
    actory
    0.78
     impressed
    0.77
    ingly
    0.75
     Thumbnails
    0.75
    ment
    0.75
    MENTS
    0.73
    Activations Density 0.046%

    No Known Activations