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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. 8-RES-JB
    6. 17968
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    INDEX
    Explanations

    names and dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Takeru
    -0.80
     Classification
    -0.73
     Passage
    -0.72
     Triangle
    -0.69
     Perception
    -0.66
     ACTION
    -0.66
     accommodations
    -0.66
     DIRECT
    -0.65
     tampering
    -0.65
     CONC
    -0.65
    POSITIVE LOGITS
    atalie
    0.81
    ablo
    0.81
    fle
    0.79
    erk
    0.78
    ename
    0.77
    punk
    0.75
    eor
    0.74
    addon
    0.74
    official
    0.73
    arling
    0.73
    Activations Density 0.093%

    No Known Activations