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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
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    No Comments

    Negative Logits
     pione
    -0.75
     eleph
    -0.73
    æĸ¹
    -0.68
     Âł Âł Âł Âł
    -0.63
     æľ
    -0.62
    chel
    -0.62
     å
    -0.61
    èĢħ
    -0.60
    ò
    -0.59
    oler
    -0.59
    POSITIVE LOGITS
    's
    1.21
    istic
    0.84
    're
    0.84
    't
    0.78
    ').
    0.78
    ish
    0.76
    '),
    0.75
    '
    0.75
    `
    0.72
    \'
    0.72
    Activations Density 0.204%

    No Known Activations