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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. 24475
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    INDEX
    Explanations

    keywords indicating actions or instructions in written text

    oai_token-act-pair · gpt-3.5-turbo

    transitional phrases or time indicators

    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
    sylv
    -0.56
     srfAttach
    -0.53
     respectively
    -0.49
    izont
    -0.48
     Vaugh
    -0.48
    zona
    -0.47
    代
    -0.46
     [|
    -0.45
    "}],"
    -0.45
     âĢ¦"
    -0.44
    POSITIVE LOGITS
    resa
    0.85
    xiety
    0.73
    odore
    0.68
     largeDownload
    0.61
    chwitz
    0.58
    mosp
    0.57
    zbollah
    0.56
    BSD
    0.54
    iple
    0.53
    swers
    0.52
    Activations Density 0.589%

    No Known Activations