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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. 0-RES-JB
    11. 6152
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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
    Not in Any Lists

    No Comments

    Negative Logits
     Sacrament
    -0.75
     indu
    -0.69
     vows
    -0.65
     sacrific
    -0.65
     susp
    -0.65
     sentenced
    -0.65
     Glas
    -0.65
     applause
    -0.64
     prosec
    -0.64
     frivol
    -0.63
    POSITIVE LOGITS
    soDeliveryDate
    0.84
    ̶
    0.74
    train
    0.73
    hao
    0.72
    plant
    0.72
    wagen
    0.71
    AAAA
    0.71
    OTA
    0.69
    leep
    0.69
    AAA
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.