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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. 18062
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    Explanations

    proper nouns and abbreviations related to governmental agencies and actions

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations and acronyms followed by punctuation

    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
    =-=-=-=-
    -0.73
    *=-
    -0.71
    quickShipAvailable
    -0.70
    chwitz
    -0.69
    ãĢIJ
    -0.65
     wise
    -0.63
    [_
    -0.61
    uria
    -0.61
    bes
    -0.60
    OTOS
    -0.60
    POSITIVE LOGITS
     logo
    0.68
    ressor
    0.66
    Va
    0.63
    vernment
    0.61
    orthern
    0.61
    swer
    0.61
    pipe
    0.60
     meter
    0.59
    ottest
    0.59
    wikipedia
    0.58
    Activations Density 0.093%

    No Known Activations