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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10274
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    INDEX
    Explanations

    quantitative information or statistics mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    percentages and statistics related to public opinion and surveys

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     laundering
    -0.80
    assetsadobe
    -0.79
     scal
    -0.77
    adr
    -0.74
     vectors
    -0.73
     backups
    -0.71
     graft
    -0.70
     escapes
    -0.70
    route
    -0.68
     Kafka
    -0.67
    POSITIVE LOGITS
     polled
    1.22
     respondents
    1.20
     surveyed
    1.15
     Gallup
    1.05
     undecided
    1.05
     majorities
    1.03
     respondent
    1.02
    Poll
    0.96
     survey
    0.95
     Opinion
    0.94
    Activations Density 0.656%

    No Known Activations