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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 6874
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    INDEX
    Explanations

    descriptive adjectives describing the pace, structure, and style of writing

    oai_token-act-pair · gpt-3.5-turbo

    critical assessments of artistic works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Government
    -0.75
     expired
    -0.73
    IFIED
    -0.72
    ospons
    -0.72
    Federal
    -0.71
     certified
    -0.71
     Certification
    -0.70
     credential
    -0.70
     certification
    -0.69
     reimbursement
    -0.69
    POSITIVE LOGITS
     cinematic
    1.13
     tropes
    1.09
     Lovecraft
    1.08
     ensemble
    1.05
     narration
    1.03
     Whedon
    1.00
     genre
    0.97
     soundtrack
    0.97
     Godzilla
    0.95
     climax
    0.94
    Activations Density 1.449%

    No Known Activations