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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 19216
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "In" followed by context-related phrases or statements

    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
     ..."
    -0.72
     etc
    -0.68
     â̦"
    -0.66
     buds
    -0.63
     fab
    -0.63
    åĤ
    -0.62
     darn
    -0.62
     nipples
    -0.62
     chicks
    -0.62
     ðŁĻĤ
    -0.62
    POSITIVE LOGITS
    resa
    1.38
    odore
    1.16
    ogether
    0.98
    alyst
    0.95
    romeda
    0.95
    ventory
    0.94
    ccording
    0.92
    wards
    0.90
    xiety
    0.90
    nesty
    0.88
    Activations Density 0.519%

    No Known Activations