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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. 4-RES-JB
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    Explanations

    specific geographic locations, particularly cities such as Springfield and Albany

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the cities Springfield and Albany

    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
    acca
    -0.94
    wana
    -0.81
    vana
    -0.79
    gger
    -0.78
    idi
    -0.76
    ifix
    -0.76
    mine
    -0.76
    vich
    -0.75
    aceous
    -0.74
    ird
    -0.74
    POSITIVE LOGITS
     Armory
    0.97
     mayoral
    0.88
    sburg
    0.86
     Township
    0.86
     Heights
    0.85
     Beacon
    0.83
     skyline
    0.83
     Municipal
    0.82
     suburbs
    0.82
     Mall
    0.81
    Activations Density 0.030%

    No Known Activations