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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 22143
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    INDEX
    Explanations

    dates expressed in two-digit numbers

    oai_token-act-pair · gpt-3.5-turbo

    historical dates and significant events

    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
    malink
    -0.63
     darn
    -0.62
     pse
    -0.62
    spin
    -0.61
    ep
    -0.60
    venge
    -0.60
    ancial
    -0.60
     lineback
    -0.59
     listener
    -0.58
     masc
    -0.58
    POSITIVE LOGITS
    GMT
    0.92
    -'
    0.82
     onwards
    0.79
     BCE
    0.78
     GMT
    0.77
    sburg
    0.75
    æŃ¦
    0.75
    â̲
    0.75
    çļ
    0.74
     Thames
    0.70
    Activations Density 0.055%

    No Known Activations