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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. 9-RES-JB
    11. 13113
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    Explanations

    names of individuals, particularly those starting with the letter 'K'

    oai_token-act-pair · gpt-3.5-turbo

    specific names and references related to people or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ierrez
    -0.83
    thood
    -0.62
    apon
    -0.60
    drm
    -0.59
    allery
    -0.59
     Samoa
    -0.59
     Mehran
    -0.59
    PASS
    -0.58
    phia
    -0.58
    imum
    -0.58
    POSITIVE LOGITS
    ĪĴ
    0.77
    ãĥĨãĤ£
    0.71
    stad
    0.69
     dots
    0.66
    ãĥķãĤ©
    0.64
    Alias
    0.58
    Redditor
    0.57
    enment
    0.57
    enegger
    0.57
     trail
    0.57
    Activations Density 0.396%

    No Known Activations