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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. 2471
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    Explanations

    mentions of a specific quantity or number followed by a category

    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
     agre
    -0.76
     misunder
    -0.68
     condem
    -0.67
     encour
    -0.67
     streng
    -0.66
    taboola
    -0.65
     confir
    -0.64
     istg
    -0.64
     fert
    -0.63
     disapp
    -0.62
    POSITIVE LOGITS
     them
    0.84
     those
    0.76
    them
    0.75
     these
    0.74
    course
    0.70
    those
    0.70
     THEM
    0.69
     whom
    0.69
     course
    0.67
     us
    0.66
    Activations Density 0.101%

    No Known Activations