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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. 6614
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    words related to ethics and morality

    oai_token-act-pair · gpt-3.5-turbo

    words related to oral communication or oral subjects

    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
    DX
    -0.74
    Ùİ
    -0.74
    ÙĴ
    -0.73
    books
    -0.72
    HQ
    -0.71
    Rose
    -0.71
    Mat
    -0.68
    ERA
    -0.68
    Ger
    -0.67
    ling
    -0.67
    POSITIVE LOGITS
    velength
    1.07
    psey
    0.88
    cffff
    0.83
    iless
    0.83
    ickson
    0.82
    odon
    0.80
    ength
    0.74
    ajo
    0.74
    MpServer
    0.73
    egal
    0.73
    Activations Density 0.034%

    No Known Activations