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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    specific locations named "San Diego"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of San Diego

    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
    vana
    -0.87
    eworld
    -0.83
    Ü
    -0.76
    yip
    -0.76
    ozyg
    -0.75
    mercial
    -0.71
    piracy
    -0.70
    eor
    -0.70
    edom
    -0.69
    ntil
    -0.69
    POSITIVE LOGITS
     Padres
    1.21
     Chargers
    1.13
     Diego
    0.97
     Comic
    0.95
     County
    0.94
     Springs
    0.80
     Garcia
    0.76
     Undead
    0.75
     Francisco
    0.73
     Angeles
    0.73
    Activations Density 0.008%

    No Known Activations