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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 8428
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    Explanations

    words related to quotes and attributions

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    chnology
    -0.94
    ãĥĻ
    -0.73
    uristic
    -0.72
    izen
    -0.72
    atown
    -0.70
    chieve
    -0.69
    enium
    -0.65
    seless
    -0.65
    inav
    -0.65
    ãĥ¯ãĥ³
    -0.64
    POSITIVE LOGITS
    said
    1.44
    according
    1.04
     said
    1.00
     according
    0.97
     says
    0.91
     explained
    0.83
    then
    0.80
     explains
    0.80
    adding
    0.75
    especially
    0.74
    Activations Density 0.111%

    No Known Activations