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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. 9-RES-JB
    11. 23257
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    INDEX
    Explanations

    mentions of locations or events

    oai_token-act-pair · gpt-3.5-turbo

    names of brands or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     enthusi
    -0.92
     Byr
    -0.76
     Franç
    -0.76
     Hyder
    -0.74
     Kazakh
    -0.73
     Hert
    -0.71
     NEC
    -0.71
    ä»
    -0.71
    æĸ¹
    -0.70
     PEOPLE
    -0.70
    POSITIVE LOGITS
    opter
    1.13
    apse
    1.05
    op
    1.05
    ape
    1.04
    drop
    1.03
    ope
    1.02
    ipe
    1.00
    inkle
    0.98
    ide
    0.98
    uckle
    0.97
    Activations Density 0.224%

    No Known Activations