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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. 8-RES-JB
    11. 23861
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    Explanations

    comparative adjectives indicating varying degrees of difficulty or ease in performing certain actions

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of ease, difficulty, and effectiveness related to various processes or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utical
    -0.68
    oria
    -0.63
    accompan
    -0.62
    !/
    -0.62
    alan
    -0.61
    idth
    -0.59
    ength
    -0.59
     provoked
    -0.57
     Cosponsors
    -0.56
     Niet
    -0.56
    POSITIVE LOGITS
     attractive
    0.76
    enable
    0.75
    competitive
    0.72
     richer
    0.71
     worthwhile
    0.70
    ible
    0.70
    accessible
    0.68
    izable
    0.66
    readable
    0.66
    solete
    0.65
    Activations Density 0.209%

    No Known Activations