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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. 3826
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    Explanations

    names of individuals and locations in a specific context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names and entities, particularly related to individuals and places

    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
    llah
    -0.81
    noon
    -0.76
    yip
    -0.76
    dar
    -0.76
    ãĤ´ãĥ³
    -0.75
    erry
    -0.72
     Layer
    -0.71
    swer
    -0.71
    ty
    -0.71
     Abdul
    -0.70
    POSITIVE LOGITS
     Grimes
    0.94
    rounder
    0.68
     Slug
    0.67
    chell
    0.64
    field
    0.62
    angel
    0.61
     Hutch
    0.61
    RNA
    0.59
    ifact
    0.59
     Greene
    0.59
    Activations Density 0.030%

    No Known Activations