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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. 4-RES-JB
    11. 6332
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    Explanations

    names or references to specific locations

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to conditions, states, or identities of characters or entities

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

    No Comments

    Negative Logits
     Rac
    -0.63
     QC
    -0.63
    chwitz
    -0.61
     HAR
    -0.56
    anooga
    -0.55
    ł
    -0.55
     Inc
    -0.54
     CAR
    -0.54
     Wrong
    -0.52
    NetMessage
    -0.51
    POSITIVE LOGITS
    iest
    0.94
    hest
    0.87
    ciation
    0.71
    opter
    0.71
    liest
    0.70
    ican
    0.70
    agonist
    0.69
    illion
    0.68
    omial
    0.68
    illary
    0.68
    Activations Density 0.513%

    No Known Activations