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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. 17931
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    Explanations

    locations or neighborhoods within a city

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographic locations, particularly in the Bronx and Harlem

    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
    ivia
    -0.90
    éĸ
    -0.85
    AKING
    -0.79
    æ³
    -0.78
    orthy
    -0.77
    inen
    -0.75
    OTE
    -0.74
    akable
    -0.73
    stall
    -0.72
    lust
    -0.71
    POSITIVE LOGITS
     Bronx
    1.09
     Borough
    0.90
     Zoo
    0.89
    xual
    0.85
     Doodle
    0.78
    layer
    0.76
     Awakens
    0.74
    cair
    0.74
     Gren
    0.74
     Harlem
    0.73
    Activations Density 0.016%

    No Known Activations