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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. 6-RES-JB
    11. 21832
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    Explanations

    occurrences of a specific name, "Hard"

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of "hard."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uality
    -0.93
    umbn
    -0.79
    allery
    -0.73
    ĸļ
    -0.72
    uations
    -0.71
    idated
    -0.68
    uating
    -0.67
    entric
    -0.67
     Emir
    -0.64
    ript
    -0.64
    POSITIVE LOGITS
    ened
    1.10
    ening
    0.98
    ball
    0.97
    ness
    0.94
    iness
    0.87
    core
    0.86
    dri
    0.85
    woods
    0.83
    ware
    0.83
    castle
    0.82
    Activations Density 0.024%

    No Known Activations