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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. 12090
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    Explanations

    terms related to substance, content substitution, and contracting

    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
    bourg
    -0.70
     roses
    -0.63
    Gil
    -0.63
     compr
    -0.63
    gow
    -0.62
    zek
    -0.61
     tremend
    -0.61
     goats
    -0.60
    steen
    -0.59
    usalem
    -0.59
    POSITIVE LOGITS
    racted
    0.96
    aneous
    0.93
    incial
    0.92
    ranean
    0.92
    itute
    0.90
    ł
    0.87
    riber
    0.86
    inent
    0.85
    reddit
    0.85
    inally
    0.84
    Activations Density 0.067%

    No Known Activations