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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. 5686
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    Explanations

    adjectives related to conditions of roughness

    oai_token-act-pair · gpt-3.5-turbo

    the word "rough" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    orea
    -0.73
    SPONSORED
    -0.72
    oleon
    -0.70
    chio
    -0.70
    rylic
    -0.68
    uously
    -0.65
    taboola
    -0.61
     Complex
    -0.61
    rities
    -0.61
    ULTS
    -0.59
    POSITIVE LOGITS
     edges
    1.22
    housing
    1.15
    neck
    1.11
     patches
    0.97
     seas
    0.89
     approximation
    0.87
    cut
    0.85
     patch
    0.85
     terrain
    0.83
     drafts
    0.80
    Activations Density 0.045%

    No Known Activations