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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. 2865
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    Explanations

    phrases related to problem-solving and decision-making

    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
    nor
    -0.65
     accompanied
    -0.64
    ONG
    -0.62
     Belief
    -0.59
    eed
    -0.58
    court
    -0.58
    udos
    -0.57
    interrupted
    -0.57
    ibaba
    -0.57
    PET
    -0.57
    POSITIVE LOGITS
     out
    1.17
     prominently
    0.83
     OUT
    0.83
     skating
    0.81
     things
    0.79
     something
    0.74
     trig
    0.72
    out
    0.70
     how
    0.70
     outs
    0.68
    Activations Density 0.025%

    No Known Activations