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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. 3-RES-JB
    11. 21132
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    Explanations

    occurrences of specific data or records being released or requested

    oai_token-act-pair · gpt-3.5-turbo

    terms related to government actions and legal proceedings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     iceberg
    -0.75
     Shards
    -0.73
     voy
    -0.69
     Reson
    -0.66
     spoil
    -0.66
     projectiles
    -0.65
     spac
    -0.64
    Film
    -0.64
     coma
    -0.64
    ragon
    -0.64
    POSITIVE LOGITS
     unanimously
    0.94
     appoint
    0.88
     chaired
    0.84
     sworn
    0.81
     appointed
    0.81
     Audit
    0.80
    mbudsman
    0.80
     overseeing
    0.80
     appointing
    0.79
     presided
    0.79
    Activations Density 1.378%

    No Known Activations