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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. 2200
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    Explanations

    items related to different parts within a transcript or document

    oai_token-act-pair · gpt-3.5-turbo
    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
    berus
    -0.68
    acha
    -0.63
    GES
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    âĤ¬
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     minded
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    ãĤ¬
    -0.56
    ITH
    -0.56
     POLITICO
    -0.56
    ELD
    -0.55
     Keen
    -0.55
    POSITIVE LOGITS
    icularly
    1.42
    icular
    1.33
    nered
    1.23
    icipated
    1.22
    ially
    1.20
    ners
    1.17
    ridge
    1.15
    isans
    1.14
    icle
    1.02
    isan
    1.02
    Activations Density 0.026%

    No Known Activations