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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. 4-RES-JB
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    Explanations

    mentions of specific geographic areas, particularly rural locations

    oai_token-act-pair · gpt-3.5-turbo

    references to densely populated regions or locations

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

    No Comments

    Negative Logits
    ATH
    -0.72
    raid
    -0.68
    inn
    -0.67
    vous
    -0.66
    RON
    -0.66
    LECT
    -0.66
    ENCE
    -0.65
    PDATE
    -0.64
    FIN
    -0.64
    FIL
    -0.63
    POSITIVE LOGITS
     areas
    1.08
     area
    0.88
     adjoining
    0.87
     Areas
    0.82
    afety
    0.80
     regions
    0.79
     surrounding
    0.78
    hare
    0.77
    hips
    0.76
     frequ
    0.76
    Activations Density 0.038%

    No Known Activations