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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. 7-RES-JB
    11. 22931
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    Explanations

    mentions of the name "Glenn" with varying strengths of activation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Glenn."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    joined
    -0.76
    ccording
    -0.75
    interstitial
    -0.74
    cles
    -0.74
    ple
    -0.70
    Äĩ
    -0.69
    LOAD
    -0.68
    unta
    -0.66
    cigarettes
    -0.66
    initialized
    -0.64
    POSITIVE LOGITS
     Greenwald
    1.15
     Beck
    0.98
    eson
    0.93
     Glenn
    0.90
    isle
    0.89
     Gould
    0.87
     Everett
    0.79
     Frey
    0.78
     Lazarus
    0.77
     Miller
    0.76
    Activations Density 0.020%

    No Known Activations