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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. 6-RES-JB
    11. 20658
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    Explanations

    terms related to research studies and reports

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating attribution to studies or reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uality
    -0.84
    ãĤ¦ãĤ¹
    -0.76
    iencies
    -0.71
    oor
    -0.69
    γ
    -0.68
    rats
    -0.68
    Interstitial
    -0.67
     parap
    -0.66
    anguage
    -0.65
     inconvenience
    -0.65
    POSITIVE LOGITS
     Amnesty
    0.79
     economists
    0.78
     Forbes
    0.77
     statistic
    0.76
     researchers
    0.76
     Trend
    0.75
     economist
    0.74
     Bernstein
    0.72
     analyzing
    0.72
     Perkins
    0.72
    Activations Density 0.070%

    No Known Activations