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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. 3-RES-JB
    11. 12037
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    Explanations

    locations, specifically focusing on the city of Canberra

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographical locations, particularly Canberra and Ankara

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ounded
    -0.80
    edly
    -0.77
    hang
    -0.74
    ed
    -0.74
    lying
    -0.72
    includes
    -0.67
    ————————————————
    -0.67
    fell
    -0.66
    vich
    -0.66
    ollow
    -0.66
    POSITIVE LOGITS
    ascus
    0.83
    urses
    0.77
    ondon
    0.74
    omorphic
    0.73
    ãĤ¢ãĥ«
    0.73
    orescent
    0.73
    urse
    0.73
    istics
    0.72
    incinn
    0.72
    halla
    0.72
    Activations Density 0.026%

    No Known Activations