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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. 3-RES-JB
    11. 12365
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    Explanations

    the name "Kobe" associated with different contexts like sports, brands, and individual preferences

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Kobe" and associated products or figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idy
    -0.75
    displayText
    -0.71
    alez
    -0.67
    entially
    -0.66
    imental
    -0.64
     impossibility
    -0.64
    iments
    -0.64
     Royals
    -0.62
    alien
    -0.61
    RH
    -0.61
    POSITIVE LOGITS
    obe
    1.10
    zeb
    1.06
    leck
    0.97
     Bryant
    0.88
    pedia
    0.87
    zes
    0.86
    isance
    0.80
    itsch
    0.79
    cean
    0.78
    zzle
    0.75
    Activations Density 0.004%

    No Known Activations