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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. 16807
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    Explanations

    terms related to providing commentary or analysis

    oai_token-act-pair · gpt-3.5-turbo

    references to commentary and analysis in various contexts

    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
    riages
    -0.74
    bis
    -0.70
    rir
    -0.66
     Lans
    -0.64
    wikipedia
    -0.64
    chen
    -0.63
    nesses
    -0.63
     Dull
    -0.62
    bie
    -0.62
     Eucl
    -0.61
    POSITIVE LOGITS
     commentary
    0.95
    mund
    0.78
    jad
    0.77
    ature
    0.72
    spective
    0.68
    isf
    0.68
     commentator
    0.67
     cartoons
    0.67
    raint
    0.66
    atures
    0.66
    Activations Density 0.023%

    No Known Activations