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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. 6122
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    INDEX
    Explanations

    adjectives describing positive or favorable qualities

    oai_token-act-pair · gpt-3.5-turbo

    statements highlighting notable qualities or characteristics of various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    agues
    -0.80
    stad
    -0.64
    ansen
    -0.62
    ults
    -0.60
    iard
    -0.60
    luaj
    -0.59
    aro
    -0.59
    æ³
    -0.58
    asts
    -0.58
     favourites
    -0.57
    POSITIVE LOGITS
     that
    1.06
     how
    1.04
    that
    0.88
     knowing
    0.86
     namely
    0.83
     simplicity
    0.82
     THAT
    0.81
     undoubtedly
    0.79
     sheer
    0.78
     realizing
    0.77
    Activations Density 0.102%

    No Known Activations