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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. 2-RES-JB
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    Explanations

    mentions of the city of Cleveland or its sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Cleveland

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    htar
    -0.75
    icial
    -0.75
    sent
    -0.74
    egal
    -0.73
    imov
    -0.71
    graded
    -0.70
    grading
    -0.68
    multipl
    -0.68
    terior
    -0.67
    Els
    -0.66
    POSITIVE LOGITS
     Cavaliers
    1.12
     Browns
    1.00
     Clinic
    1.00
     Heights
    0.96
     Indians
    0.95
     Cleveland
    0.89
     Orchestra
    0.83
    ville
    0.78
     Township
    0.72
    illo
    0.72
    Activations Density 0.006%

    No Known Activations