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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. 8462
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    Explanations

    proper nouns or names

    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
    .","
    -0.53
     ÂŃ
    -0.52
     âĢ¦"
    -0.51
    itiz
    -0.50
     respectively
    -0.49
    rouse
    -0.48
     ''
    -0.48
     thereto
    -0.46
    .''
    -0.46
     precursor
    -0.45
    POSITIVE LOGITS
    xiety
    0.77
    resa
    0.73
    odore
    0.70
     Facts
    0.69
     Examples
    0.67
     Names
    0.67
    BSD
    0.65
     Quote
    0.65
     Profile
    0.64
     Definition
    0.64
    Activations Density 0.613%

    No Known Activations