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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. 11-RES-JB
    11. 240
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    INDEX
    Explanations

    keywords that classify items into different groups or categories

    oai_token-act-pair · gpt-3.5-turbo

    references to distinct categories or types

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Beast
    -0.60
    artifacts
    -0.59
    ebook
    -0.59
    Ire
    -0.57
    ergy
    -0.56
    une
    -0.56
     sweat
    -0.56
    olini
    -0.56
     Andromeda
    -0.55
     hadn
    -0.55
    POSITIVE LOGITS
    :-
    1.23
    %:
    1.21
    :(
    1.04
    :
    1.03
     viz
    0.99
    :[
    0.95
    :#
    0.90
    *:
    0.89
    :"
    0.88
    ':
    0.86
    Activations Density 0.161%

    No Known Activations