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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. 8398
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    INDEX
    Explanations
    No Explanations Found
    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
    conom
    -0.71
     Airl
    -0.66
    atten
    -0.63
    ĸļ
    -0.61
    handle
    -0.60
     fashioned
    -0.60
    dimensional
    -0.60
    Disney
    -0.60
    knit
    -0.59
    seek
    -0.58
    POSITIVE LOGITS
     Cosponsors
    0.95
    iencies
    0.83
    chnology
    0.70
    ospels
    0.70
    cible
    0.70
    asting
    0.67
    ucc
    0.66
    orsi
    0.66
    ync
    0.65
    ription
    0.65
    Activations Density 0.000%

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