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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. 9537
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    Explanations

    words related to ease, easiness, or something made easier

    oai_token-act-pair · gpt-3.5-turbo

    words related to easiness and comfort

    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
     Adin
    -0.75
    annon
    -0.73
    abies
    -0.68
     Ambro
    -0.67
     contrace
    -0.64
    aband
    -0.63
     Kitchen
    -0.63
    udget
    -0.63
    ãĤ¦ãĤ¹
    -0.63
    £ı
    -0.60
    POSITIVE LOGITS
    prise
    0.90
    ignty
    0.88
    clair
    0.85
    bum
    0.84
    uve
    0.83
    terday
    0.82
    erving
    0.82
    itent
    0.81
    bow
    0.79
    coe
    0.78
    Activations Density 0.017%

    No Known Activations