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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. 7-RES-JB
    11. 21571
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    INDEX
    Explanations

    names, specifically identifying people

    oai_token-act-pair · gpt-3.5-turbo

    patterns related to specific subjects or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.77
    ħĭ
    -0.73
     Journalism
    -0.63
     Goals
    -0.61
     tert
    -0.60
    ĪĴ
    -0.59
    dylib
    -0.59
    ¬¼
    -0.58
     Icon
    -0.58
    quad
    -0.57
    POSITIVE LOGITS
    pool
    0.77
    lees
    0.72
    amac
    0.65
    andise
    0.65
    leon
    0.63
    reen
    0.63
    endra
    0.63
    urga
    0.61
    shaw
    0.60
    enery
    0.59
    Activations Density 0.259%

    No Known Activations