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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. 13395
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    INDEX
    Explanations

    names of individuals and their affiliations

    oai_token-act-pair · gpt-3.5-turbo

    repeated or emphasized letters in words

    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
     yield
    -0.79
     loopholes
    -0.74
     deterrent
    -0.73
     aid
    -0.71
     opportunities
    -0.69
     distractions
    -0.68
     filler
    -0.68
     turnout
    -0.68
     arming
    -0.67
     prolifer
    -0.65
    POSITIVE LOGITS
    ï¸ı
    1.60
    âĢ
    1.28
    ski
    1.25
    Jr
    1.07
    ï¸
    1.06
    who
    1.01
    âģ
    0.98
    tre
    0.97
    famous
    0.95
     âĢ
    0.95
    Activations Density 0.160%

    No Known Activations