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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. 24161
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    INDEX
    Explanations

    mentions of the word "element" or related words such as "lements," "lement," "elements," or "lementary."

    oai_token-act-pair · gpt-3.5-turbo

    words related to different types of "elements" or "components"

    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
     Bee
    -0.74
    ãĥīãĥ©ãĤ´ãĥ³
    -0.70
    verbs
    -0.65
    PER
    -0.64
     toler
    -0.64
     Chronicle
    -0.63
    IJ
    -0.62
     cy
    -0.62
    ifter
    -0.60
     mosqu
    -0.59
    POSITIVE LOGITS
    ary
    1.07
    ation
    1.07
    xual
    0.97
    lement
    0.97
    edly
    0.92
    agall
    0.91
    eneg
    0.88
    aries
    0.88
    hip
    0.87
    naire
    0.87
    Activations Density 0.023%

    No Known Activations