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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. 1623
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    INDEX
    Explanations

    keywords or phrases indicating partial contributions or factors

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating partial explanations or causation

    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
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.98
    eers
    -0.97
    Trend
    -0.84
     clipboard
    -0.79
    Reviewer
    -0.75
    ERY
    -0.75
    ãĥ¤
    -0.74
    WHERE
    -0.74
    holes
    -0.73
    SHIP
    -0.71
    POSITIVE LOGITS
     obscured
    0.81
     cloudy
    0.78
     overlapping
    0.77
     due
    0.76
    heartedly
    0.73
     compensated
    0.71
     paralyzed
    0.69
     partly
    0.68
     eclips
    0.68
     veiled
    0.67
    Activations Density 0.011%

    No Known Activations