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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. 4-RES-JB
    11. 78
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    Explanations

    instances of the word "Tsunami" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names related to people and places

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

    No Comments

    Negative Logits
    abase
    -0.77
     Wonderland
    -0.74
    ailable
    -0.73
    azeera
    -0.72
    ufact
    -0.69
    cember
    -0.69
     avail
    -0.67
     Ashes
    -0.64
    ensical
    -0.63
    SourceFile
    -0.63
    POSITIVE LOGITS
    oslav
    0.95
    ν
    0.84
    hiba
    0.78
    loo
    0.76
    jin
    0.73
    chev
    0.72
    Ļ
    0.71
    raph
    0.71
    rek
    0.69
    grain
    0.69
    Activations Density 0.163%

    No Known Activations