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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. 13486
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    Explanations

    words related to conflicts, confrontations, and significant challenges

    oai_token-act-pair · gpt-3.5-turbo

    terms related to significant societal outcomes and conflicts

    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
     scant
    -0.57
    Lic
    -0.55
    guyen
    -0.55
    athi
    -0.54
     SHOW
    -0.53
     Liv
    -0.52
     bikini
    -0.52
    artment
    -0.52
     diaper
    -0.52
     ISO
    -0.51
    POSITIVE LOGITS
    thood
    1.03
     someday
    0.82
    livion
    0.75
    anship
    0.74
     unless
    0.73
     tomorrow
    0.73
    ternity
    0.73
     purposes
    0.68
    matically
    0.67
     ASAP
    0.66
    Activations Density 0.351%

    No Known Activations