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

    references to the city of Oakland

    oai_token-act-pair · gpt-3.5-turbo

    mentions of 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 @ 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
    mble
    -0.88
    gey
    -0.77
    pard
    -0.74
    htaking
    -0.74
     Beir
    -0.72
    pn
    -0.72
    ittance
    -0.71
    hower
    -0.66
    udding
    -0.66
    orsche
    -0.66
    POSITIVE LOGITS
     Raiders
    1.01
     Oakland
    0.93
     Tribune
    0.83
     Heights
    0.80
     Unified
    0.76
     Skydragon
    0.76
     County
    0.76
     rall
    0.76
     Coliseum
    0.76
     Bay
    0.75
    Activations Density 0.006%

    No Known Activations