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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. 17454
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    Explanations

    abbreviations related to company names

    oai_token-act-pair · gpt-3.5-turbo

    references to regulatory or licensing agencies

    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
    Downloadha
    -0.94
     Taj
    -0.77
    fulness
    -0.72
    é¾įåĸļ士
    -0.72
    thing
    -0.69
    ãĥĥãĥĪ
    -0.68
     Gors
    -0.68
    ername
    -0.68
    liest
    -0.67
    manship
    -0.67
    POSITIVE LOGITS
    ateral
    0.97
    VD
    0.89
    aution
    0.86
    VO
    0.83
    orem
    0.81
    apsed
    0.81
    ounter
    0.79
    ount
    0.78
    trl
    0.78
    ossus
    0.77
    Activations Density 0.020%

    No Known Activations