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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. 4-RES-JB
    11. 13206
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    Explanations

    references to surveys

    oai_token-act-pair · gpt-3.5-turbo

    mentions of surveys

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    cream
    -0.76
    burning
    -0.74
     slic
    -0.72
    speed
    -0.71
    gran
    -0.68
    ĪĴ
    -0.65
    mology
    -0.65
    aundering
    -0.64
     brill
    -0.64
    fired
    -0.64
    POSITIVE LOGITS
     survey
    0.98
     respondent
    0.95
     respondents
    0.92
     surveys
    0.89
    sylvania
    0.83
    ors
    0.80
     surve
    0.74
     Surve
    0.73
     statistic
    0.72
    naire
    0.71
    Activations Density 0.016%

    No Known Activations