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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
    11. 5016
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    Explanations

    references to specific organizations and individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific organizations and prominent individuals associated with them

    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
    ichick
    -0.90
    trak
    -0.78
    ossal
    -0.77
    rx
    -0.77
    sch
    -0.76
    onial
    -0.76
    atile
    -0.75
    anooga
    -0.75
    bender
    -0.74
    uel
    -0.74
    POSITIVE LOGITS
     Yards
    0.76
     Finch
    0.73
     Yard
    0.71
     Parish
    0.71
     Village
    0.69
     Isles
    0.68
     Rockefeller
    0.68
     Morales
    0.68
     Wynne
    0.66
    OUS
    0.66
    Activations Density 0.185%

    No Known Activations