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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. 9-RES-JB
    6. 16836
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    INDEX
    Explanations

    phrases describing or outlining plans, cases, issues, rules, or events

    oai_token-act-pair · gpt-3.5-turbo

    statements that outline or describe plans, issues, or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wen
    -0.72
    tackle
    -0.66
    ickle
    -0.65
    wei
    -0.65
    frog
    -0.65
    erity
    -0.63
    WT
    -0.63
     Uriel
    -0.62
     Adults
    -0.61
    oso
    -0.60
    POSITIVE LOGITS
     rationale
    1.19
     reasoning
    1.09
     criteria
    1.06
     reasons
    1.02
     particulars
    1.02
     procedures
    1.01
     virtues
    1.01
     workings
    1.00
     procedure
    1.00
     specifics
    0.99
    Activations Density 0.351%

    No Known Activations