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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. 7-RES-JB
    11. 11500
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    INDEX
    Explanations

    reports or testimonies mentioning actions or events

    oai_token-act-pair · gpt-3.5-turbo

    references to eyewitness accounts and reports

    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
    idelines
    -0.85
    forth
    -0.80
    Correction
    -0.76
    stakes
    -0.75
    ularity
    -0.73
    ahead
    -0.73
    Policy
    -0.72
    onen
    -0.71
    dale
    -0.71
    etsu
    -0.71
    POSITIVE LOGITS
    ewitness
    1.16
     eyewitness
    0.91
     sightings
    0.90
     gunshots
    0.88
     overheard
    0.88
     witnesses
    0.87
     hearing
    0.87
     witnessing
    0.83
     recollection
    0.82
     recol
    0.82
    Activations Density 0.407%

    No Known Activations