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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. 9-RES-JB
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    Explanations

    names or mentions of the city of Charlotte

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Charlotte"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ifact
    -0.72
    eering
    -0.71
    aeda
    -0.71
    oday
    -0.70
    ALLY
    -0.69
    raid
    -0.68
    arily
    -0.67
    CE
    -0.67
    algia
    -0.66
    visor
    -0.66
    POSITIVE LOGITS
    otte
    1.18
    ottesville
    1.17
    eston
    1.04
    sburg
    0.96
     Hornets
    0.90
    boro
    0.88
    burg
    0.87
    issance
    0.83
    lehem
    0.82
     Observer
    0.81
    Activations Density 0.084%

    No Known Activations