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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. 11213
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    Explanations

    keywords related to different communities or societal groups

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various forms of "cities" or urban areas

    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
    netflix
    -0.75
    awar
    -0.72
    paren
    -0.72
    Nap
    -0.71
    VID
    -0.69
    plet
    -0.69
    sett
    -0.69
    syn
    -0.68
    empt
    -0.68
    neck
    -0.68
    POSITIVE LOGITS
    etter
    0.83
    hare
    0.73
    hower
    0.68
    aurus
    0.66
     Matters
    0.65
     Peb
    0.65
    ities
    0.63
     Taj
    0.62
    ouls
    0.60
     Remastered
    0.60
    Activations Density 0.020%

    No Known Activations