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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. 10-RES-JB
    11. 2727
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    Explanations

    instances of the word "Dor" followed by different syllables or words

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific name or entity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HER
    -0.64
    anwhile
    -0.64
     uncomp
    -0.64
    xual
    -0.63
    WAYS
    -0.62
     ESC
    -0.60
     Lith
    -0.60
     congr
    -0.60
     disparate
    -0.60
    HS
    -0.59
    POSITIVE LOGITS
    chester
    1.34
    sey
    1.14
    ado
    1.06
    je
    1.05
    wyn
    1.05
    fman
    1.04
    cas
    1.03
    rance
    0.97
    othe
    0.97
    bage
    0.96
    Activations Density 0.030%

    No Known Activations