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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
    11. 13747
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    Explanations

    proper nouns, particularly names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    references to names associated with places or entities

    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
    alos
    -0.81
    andr
    -0.78
    olulu
    -0.74
    orses
    -0.72
    externalActionCode
    -0.72
    hips
    -0.70
    rera
    -0.68
     Chocobo
    -0.65
     Gandhi
    -0.65
    egal
    -0.65
    POSITIVE LOGITS
     Webster
    1.11
    theless
    0.93
    endor
    0.77
     Hub
    0.75
     Dictionary
    0.74
     Hick
    0.73
     Petersen
    0.72
    witz
    0.72
     Sut
    0.72
     Broad
    0.70
    Activations Density 0.013%

    No Known Activations