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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. 0-RES-JB
    6. 5312
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ommel
    -0.76
    earchers
    -0.74
    semble
    -0.70
    lection
    -0.68
    akura
    -0.67
    velt
    -0.64
    pattern
    -0.62
    arantine
    -0.60
    uable
    -0.60
    Avg
    -0.58
    POSITIVE LOGITS
    ãĤ¼ãĤ¦ãĤ¹
    0.84
    é¾įå
    0.78
    ModLoader
    0.76
    ãģł
    0.75
    ?).
    0.72
    ?".
    0.69
    ?),
    0.69
    ©¶æ¥µ
    0.66
     signalling
    0.65
    cknowled
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.