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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. 21209
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    Explanations

    mentions of geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of boroughs

    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
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    No Comments

    Negative Logits
    ibaba
    -0.81
    cius
    -0.75
    inen
    -0.74
    lli
    -0.70
    positive
    -0.66
    riott
    -0.66
    lf
    -0.66
    PLA
    -0.66
    lda
    -0.65
    andem
    -0.65
    POSITIVE LOGITS
     borough
    1.51
     Borough
    1.45
     councils
    0.93
     oun
    0.88
     Brooklyn
    0.85
     neighb
    0.83
    orough
    0.81
     synagogue
    0.80
     shenan
    0.76
     alley
    0.74
    Activations Density 0.005%

    No Known Activations