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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. 12222
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    Explanations

    words related to legal or investigative contexts, such as "argument," "case," "incident," and "reason."

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to arguments, cases, and significant events

    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
    ople
    -0.72
     Ajax
    -0.66
     Clubs
    -0.64
     Moonlight
    -0.63
     Charleston
    -0.62
     Henri
    -0.62
     Clause
    -0.61
     Sporting
    -0.61
     Miracle
    -0.60
     Venus
    -0.59
    POSITIVE LOGITS
    worldly
    0.93
    roller
    0.84
    bender
    0.82
    ioch
    0.80
    anche
    0.78
    ypes
    0.76
     outing
    0.76
     besides
    0.75
    rolling
    0.71
    icy
    0.70
    Activations Density 0.237%

    No Known Activations