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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. 14121
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    INDEX
    Explanations

    sentences ending with a strong statement or opinion

    oai_token-act-pair · gpt-3.5-turbo

    sentences that discuss facts or statistics

    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
     teasp
    -0.80
     practition
    -0.79
    aditional
    -0.79
     exting
    -0.76
     destro
    -0.74
     alley
    -0.73
     advoc
    -0.73
     thous
    -0.72
     citiz
    -0.71
     util
    -0.71
    POSITIVE LOGITS
     So
    1.11
     Written
    1.09
     Because
    1.05
    <|endoftext|>
    1.05
     Which
    1.00
     Again
    0.99
     Nonetheless
    0.97
     Fortunately
    0.96
     Both
    0.95
     Hence
    0.95
    Activations Density 0.493%

    No Known Activations