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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. 6-RES-JB
    11. 21902
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    Explanations

    words related to hidden, unnoticed, or not highlighted aspects

    oai_token-act-pair · gpt-3.5-turbo

    variations of the prefix "und" in words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-
    -0.81
    Reviewer
    -0.80
     constitu
    -0.73
    kefeller
    -0.69
    utra
    -0.64
    Discussion
    -0.64
    =-=-=-=-=-=-=-=-
    -0.63
     Rivals
    -0.63
    beans
    -0.62
     laun
    -0.62
    POSITIVE LOGITS
    inished
    0.86
    puted
    0.77
    itably
    0.74
    aged
    0.74
    anced
    0.73
    medi
    0.73
    urbed
    0.72
    ressed
    0.70
    abit
    0.69
    rimination
    0.69
    Activations Density 0.067%

    No Known Activations