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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. 18377
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    INDEX
    Explanations

    mentions of cinemas

    oai_token-act-pair · gpt-3.5-turbo

    terms related to cinema and films

    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
    REDACTED
    -0.66
     Kush
    -0.66
     Davidson
    -0.64
    FLAG
    -0.64
     Mutual
    -0.64
     prevailing
    -0.62
    HY
    -0.61
     Kimber
    -0.61
    âĵĺ
    -0.60
     Lynn
    -0.60
    POSITIVE LOGITS
    atography
    1.32
    atically
    1.01
    agraph
    0.99
    atics
    0.91
    atin
    0.89
    icians
    0.89
    oreal
    0.86
    odi
    0.85
    atic
    0.84
    ovies
    0.83
    Activations Density 0.006%

    No Known Activations