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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. 14131
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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
    Negative Logits
    iqueness
    -0.75
    ypes
    -0.75
    icas
    -0.72
    paio
    -0.72
    cision
    -0.71
    ttes
    -0.71
    cffff
    -0.70
    zzo
    -0.68
    amina
    -0.65
    dig
    -0.65
    POSITIVE LOGITS
    sson
    0.82
    volent
    0.64
    row
    0.61
     honoured
    0.60
     Sebast
    0.58
    ward
    0.58
     Caption
    0.58
     skiing
    0.57
     Household
    0.57
     frost
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.