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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. 23074
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    Explanations

    words related to intense observation or focus

    oai_token-act-pair · gpt-3.5-turbo

    adverbs that describe continuous or persistent actions

    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
    emaker
    -0.73
    achev
    -0.72
    pez
    -0.70
     Velvet
    -0.68
    sonian
    -0.65
    ogue
    -0.64
    ookie
    -0.64
    soDeliveryDate
    -0.63
    psons
    -0.62
     Survivors
    -0.62
    POSITIVE LOGITS
     priced
    0.90
    entimes
    0.83
    uated
    0.74
    ently
    0.73
     enumer
    0.72
     minded
    0.71
     rated
    0.70
     aroused
    0.69
     satur
    0.68
     unsu
    0.67
    Activations Density 0.008%

    No Known Activations