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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. 303
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    rex
    -0.74
    vier
    -0.65
    yrinth
    -0.65
    cheon
    -0.65
    rox
    -0.61
    gypt
    -0.60
    seless
    -0.59
    alla
    -0.59
    otal
    -0.57
    rained
    -0.57
    POSITIVE LOGITS
    THING
    1.22
    place
    0.97
     semblance
    0.93
    body
    0.92
    WHERE
    0.89
    ones
    0.89
    thin
    0.85
    how
    0.84
    ONE
    0.83
     doubts
    0.81
    Activations Density 0.074%

    No Known Activations