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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
    11. 10619
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    Explanations

    locations, particularly the city of Cambridge

    oai_token-act-pair · gpt-3.5-turbo

    references to Cambridge and related locations

    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
    avorable
    -0.88
    utm
    -0.77
    gey
    -0.75
    iquid
    -0.75
    asta
    -0.74
    vg
    -0.72
    atri
    -0.72
    vana
    -0.71
    phabet
    -0.69
    ocene
    -0.68
    POSITIVE LOGITS
    shire
    0.97
     Analy
    0.96
     Cambridge
    0.95
    bridge
    0.91
     Yard
    0.83
     University
    0.83
     Sloan
    0.78
     Coat
    0.78
     Evening
    0.77
     Yards
    0.76
    Activations Density 0.013%

    No Known Activations