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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. 9-RES-JB
    11. 20222
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    Explanations

    proper nouns related to famous individuals, particularly focusing on the name "Warren"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Warren"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dayName
    -0.84
    odic
    -0.71
    ãĤ´ãĥ³
    -0.70
    omaly
    -0.70
    netflix
    -0.68
    bid
    -0.66
    cific
    -0.65
    etheless
    -0.64
    lies
    -0.64
    pmwiki
    -0.64
    POSITIVE LOGITS
     Buffett
    1.21
    sburg
    1.03
    rade
    0.95
     Farrell
    0.95
     Harding
    0.82
     Warren
    0.81
     Sapp
    0.81
     Joyce
    0.73
    ers
    0.73
    ritch
    0.72
    Activations Density 0.039%

    No Known Activations