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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. 8419
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    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
     Mirage
    -0.75
     Sammy
    -0.72
     ways
    -0.67
     further
    -0.67
     mounted
    -0.64
     mount
    -0.64
     Lama
    -0.63
     Rudd
    -0.63
     trail
    -0.63
     Drawn
    -0.63
    POSITIVE LOGITS
    amily
    1.20
    ternity
    1.19
    uthor
    1.18
    ï¸ı
    1.06
    vernment
    1.05
    \-
    1.03
    £
    1.02
    _>
    0.96
    cffff
    0.95
    $
    0.94
    Activations Density 0.146%

    No Known Activations