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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. 12663
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    Explanations

    references to images or photography-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to images and related content in a visual media context

    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

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    Negative Logits
     ha
    -0.73
    sett
    -0.68
     charter
    -0.65
    erb
    -0.65
     pedigree
    -0.65
     denomin
    -0.65
    bury
    -0.63
    eg
    -0.62
    iates
    -0.61
     mosqu
    -0.60
    POSITIVE LOGITS
    TION
    0.99
     WATCHED
    0.91
     Annotations
    0.84
    TOP
    0.79
    OTOS
    0.78
    ideshow
    0.78
    Tips
    0.77
    HAEL
    0.77
    */(
    0.77
    anwhile
    0.77
    Activations Density 0.006%

    No Known Activations