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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. 8-RES-JB
    11. 11944
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    INDEX
    Explanations

    numerical information and comparisons

    oai_token-act-pair · gpt-3.5-turbo

    quantitative comparisons and statistical measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     alike
    -0.69
     Dele
    -0.67
     ãĤµ
    -0.65
     Everywhere
    -0.65
    urai
    -0.65
     Emails
    -0.65
    behind
    -0.64
    oken
    -0.63
    amar
    -0.61
     differently
    -0.61
    POSITIVE LOGITS
     threshold
    1.21
     averages
    1.06
     estimate
    1.05
     norm
    1.03
     limit
    1.02
     allowable
    1.01
     average
    1.00
     cutoff
    0.99
     thresholds
    0.98
     maximum
    0.96
    Activations Density 0.387%

    No Known Activations