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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. 2-RES-JB
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    Explanations

    keywords related to sporting events

    oai_token-act-pair · gpt-3.5-turbo

    references to sporting events and activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iosis
    -0.71
    upon
    -0.68
    ulhu
    -0.66
    escal
    -0.65
    iotic
    -0.65
    amn
    -0.64
    ateral
    -0.62
    aghan
    -0.62
    wered
    -0.61
    erest
    -0.61
    POSITIVE LOGITS
     sporting
    0.87
     arenas
    0.84
     apparel
    0.84
    ¶æ
    0.82
     Clubs
    0.80
     competitions
    0.79
    isure
    0.76
     stadiums
    0.75
    bands
    0.74
     clubs
    0.74
    Activations Density 0.005%

    No Known Activations