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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. 9-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wic
    -0.68
    imester
    -0.67
    elo
    -0.60
    Reviewer
    -0.58
    çļ
    -0.58
    lvl
    -0.57
    Ws
    -0.56
    irin
    -0.56
    perfect
    -0.56
    weet
    -0.55
    POSITIVE LOGITS
     other
    1.04
     assorted
    0.93
     others
    0.83
     possibly
    0.74
     elsewhere
    0.71
    other
    0.66
     several
    0.62
     Others
    0.62
    cellaneous
    0.61
     related
    0.61
    Activations Density 0.398%

    No Known Activations