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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. 7-RES-JB
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    references to locations, specifically related to the city of Oakland

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Oakland

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    mble
    -0.93
    thood
    -0.78
    pard
    -0.75
    gey
    -0.74
    ieu
    -0.72
    kas
    -0.71
    ittance
    -0.71
    itton
    -0.71
    SHIP
    -0.69
    sein
    -0.67
    POSITIVE LOGITS
     Raiders
    1.08
     Tribune
    0.95
     Athletics
    0.88
     Coliseum
    0.87
     County
    0.87
     Unified
    0.86
     Heights
    0.82
     Oakland
    0.82
     Bay
    0.79
     Hills
    0.79
    Activations Density 0.018%

    No Known Activations