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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. 11887
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    INDEX
    Explanations

    increments and measurements of data

    oai_token-act-pair · gpt-3.5-turbo

    significant trends and changes in data related to societal issues

    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
     voic
    -0.75
     oath
    -0.70
    iquette
    -0.66
     blasp
    -0.65
     pulp
    -0.63
     CCTV
    -0.63
     secrets
    -0.63
     dishes
    -0.62
     airs
    -0.62
     Secrets
    -0.61
    POSITIVE LOGITS
     gradual
    1.01
     fluctuations
    0.98
     plateau
    0.96
     statistically
    0.96
     recession
    0.96
     peaks
    0.93
    period
    0.93
    Figure
    0.93
    Chart
    0.91
     decrease
    0.91
    Activations Density 1.503%

    No Known Activations