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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. 7-RES-JB
    6. 6137
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    INDEX
    Explanations

    first-person statements discussing personal beliefs or experiences

    oai_token-act-pair · gpt-3.5-turbo

    first-person accounts and personal opinions

    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
    WAR
    -0.67
    Repeat
    -0.66
     Ships
    -0.65
     Repeat
    -0.64
     Replacement
    -0.63
     reversible
    -0.63
    cut
    -0.62
     Rib
    -0.62
     ransom
    -0.60
    Drop
    -0.60
    POSITIVE LOGITS
     privileged
    0.91
     responsibilities
    0.82
     frequ
    0.73
     acquaint
    0.73
     regularly
    0.71
     inherited
    0.70
     intimately
    0.69
     privilege
    0.69
    pired
    0.68
     nurt
    0.67
    Activations Density 0.583%

    No Known Activations