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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. 4482
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    Explanations

    phrases starting with "Well" and including expressions of opinion or thought

    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
    "!
    -0.76
    Sov
    -0.68
    ãĤĬ
    -0.67
    pered
    -0.67
    bsp
    -0.67
    Added
    -0.66
    Reviewed
    -0.63
     Drawn
    -0.61
    Removed
    -0.60
    aped
    -0.59
    POSITIVE LOGITS
     secondly
    1.16
     frankly
    1.08
     anecd
    1.01
     yeah
    0.95
     interestingly
    0.92
     honestly
    0.91
     obviously
    0.87
     I
    0.86
    entimes
    0.84
     historically
    0.83
    Activations Density 0.182%

    No Known Activations