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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. 9083
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    Explanations

    numerical values and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and percentages related to 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
    sth
    -0.73
    Reviewer
    -0.72
    chart
    -0.67
    hart
    -0.65
    endum
    -0.64
    lest
    -0.64
    went
    -0.63
    lude
    -0.63
    atography
    -0.62
    Miami
    -0.62
    POSITIVE LOGITS
     depending
    1.41
    depending
    1.40
     respectively
    1.29
     inclusive
    0.92
     alike
    0.86
    ?????-
    0.66
     Depending
    0.65
     teasp
    0.65
     GHz
    0.64
     respective
    0.62
    Activations Density 0.167%

    No Known Activations