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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. 10-RES-JB
    11. 4465
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    Explanations

    instances where someone is unable to perform an action or achieve a goal

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irie
    -0.71
    gone
    -0.64
    assault
    -0.59
    meier
    -0.57
    bour
    -0.55
    azine
    -0.55
     Neigh
    -0.54
    erno
    -0.54
    ERN
    -0.52
     Ribbon
    -0.52
    POSITIVE LOGITS
     to
    1.03
     adequately
    0.83
    bodied
    0.78
     thereto
    0.71
    to
    0.69
     anymore
    0.69
     afford
    0.69
     ta
    0.69
    lect
    0.66
    To
    0.64
    Activations Density 0.059%

    No Known Activations