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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. 4-RES-JB
    11. 19992
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    Explanations

    mentions of company names ending with "& Co."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of companies or organizations

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

    No Comments

    Negative Logits
    lihood
    -0.80
     IMAGES
    -0.77
     GOODMAN
    -0.71
     guiActiveUn
    -0.69
    ICAN
    -0.65
     Hungarian
    -0.65
    acious
    -0.64
    selves
    -0.63
    nikov
    -0.63
    aneous
    -0.62
    POSITIVE LOGITS
    aches
    1.08
    aching
    1.04
    venants
    0.96
    herent
    0.95
    asters
    0.92
    oner
    0.92
    vern
    0.91
    hesion
    0.90
    efficients
    0.90
    ingen
    0.89
    Activations Density 0.019%

    No Known Activations