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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
    11. 4211
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    Explanations

    mentions of "Wall Street."

    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
    lihood
    -0.86
    forth
    -0.66
     Carbuncle
    -0.64
    orean
    -0.64
    ãģ¦
    -0.63
     suscept
    -0.62
     habitable
    -0.59
    ities
    -0.59
    icable
    -0.58
     Anth
    -0.58
    POSITIVE LOGITS
    abies
    1.41
    papers
    1.25
    paper
    1.15
    enberg
    1.06
    aby
    1.04
    acea
    1.01
    itzer
    1.00
    enstein
    0.98
    onne
    0.89
    iday
    0.87
    Activations Density 0.026%

    No Known Activations