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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. 8-RES-JB
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    Explanations

    mentions of the name "Ken" followed by a number, potentially related to references or occurrences of the name in the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Ken"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.75
    xual
    -0.71
    anwhile
    -0.69
     positives
    -0.64
    pmwiki
    -0.64
    ties
    -0.63
     Hurricanes
    -0.62
     defic
    -0.61
    aces
    -0.60
    Reloaded
    -0.60
    POSITIVE LOGITS
    yon
    1.11
    zie
    1.02
    ji
    1.00
    zo
    0.94
    wei
    0.92
    mare
    0.92
    ois
    0.90
    ichi
    0.89
    worthy
    0.88
    obi
    0.88
    Activations Density 0.022%

    No Known Activations