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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. 11-RES-JB
    11. 918
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    Explanations

    email-related actions like sending or sharing content with friends

    oai_token-act-pair · gpt-3.5-turbo

    references to social connections and relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aucus
    -0.60
    ascript
    -0.59
    UP
    -0.58
    ãĥ³
    -0.56
    ued
    -0.55
    isters
    -0.55
    ahime
    -0.55
    uced
    -0.55
    TIME
    -0.54
    hua
    -0.53
    POSITIVE LOGITS
    inelli
    0.56
    ian
    0.50
     livest
    0.50
    yout
    0.49
    rop
    0.49
    re
    0.49
    ran
    0.49
    iar
    0.48
    rored
    0.48
    deen
    0.48
    Activations Density 0.261%

    No Known Activations