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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. 2-RES-JB
    11. 24068
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    Explanations

    mentions of different types of inns or lodging establishments

    oai_token-act-pair · gpt-3.5-turbo

    references to various inns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vich
    -0.79
    theless
    -0.78
    uyomi
    -0.76
    =-=-=-=-=-=-=-=-
    -0.74
     litter
    -0.74
     Marketable
    -0.65
     parental
    -0.63
    ¥
    -0.62
     behav
    -0.60
    xual
    -0.60
    POSITIVE LOGITS
     Inn
    1.19
    umerable
    1.13
    keeper
    1.09
    keepers
    0.89
    ocent
    0.88
    ovo
    0.87
    itial
    0.87
    iday
    0.86
    unci
    0.85
    acle
    0.85
    Activations Density 0.009%

    No Known Activations