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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. 11-RES-JB
    11. 1799
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    INDEX
    Explanations

    keywords related to rankings or top positions

    oai_token-act-pair · gpt-3.5-turbo

    references to rankings or performance levels in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     [|
    -0.69
    then
    -0.67
    md
    -0.64
    thens
    -0.64
    ³³³
    -0.63
    beit
    -0.63
    cation
    -0.61
    ajor
    -0.61
    stead
    -0.61
    ATIONS
    -0.60
    POSITIVE LOGITS
     notch
    1.08
     earners
    1.00
    ographical
    1.00
     brass
    1.00
    ography
    0.96
     priority
    0.96
     priorities
    0.93
     drawer
    0.93
    most
    0.92
     tier
    0.91
    Activations Density 0.055%

    No Known Activations