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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. 1-RES-JB
    6. 7394
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    nered
    -0.63
    IDS
    -0.62
    geon
    -0.60
     plank
    -0.60
     WATCHED
    -0.59
    CVE
    -0.59
     Luxem
    -0.57
     SIG
    -0.57
    к
    -0.57
     bis
    -0.56
    POSITIVE LOGITS
    ctuary
    0.73
    urry
    0.70
     rush
    0.68
    owan
    0.67
    leans
    0.66
    know
    0.65
    reme
    0.65
    bish
    0.65
    ammy
    0.63
    touch
    0.63
    Activations Density 0.000%

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