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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. 11-RES-JB
    11. 304
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rette
    -0.69
    owler
    -0.68
    ishers
    -0.66
    zens
    -0.66
    rium
    -0.65
    olphin
    -0.65
    soType
    -0.64
    ãĥĥãĤ¯
    -0.63
    GBT
    -0.62
    ĭ
    -0.60
    POSITIVE LOGITS
    '
    2.40
    ']
    1.80
    '"
    1.66
    '-
    1.60
    ',
    1.60
    '/
    1.53
    ')
    1.53
    '?
    1.49
    '.
    1.45
    ',"
    1.41
    Activations Density 0.319%

    No Known Activations