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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. 1-RES-JB
    11. 9754
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    Explanations

    words related to American football tackling

    oai_token-act-pair · gpt-3.5-turbo

    references to tackles and the Wolverines in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oga
    -0.82
    ipop
    -0.79
    adan
    -0.75
    odon
    -0.73
    itation
    -0.72
    wagen
    -0.72
     Missile
    -0.71
    ajo
    -0.70
     Reprodu
    -0.69
     stocking
    -0.69
    POSITIVE LOGITS
    lies
    0.92
    les
    0.90
    lisher
    0.84
    leness
    0.81
    lings
    0.80
    ellig
    0.77
    ly
    0.77
    lish
    0.77
    liness
    0.75
    ling
    0.74
    Activations Density 0.035%

    No Known Activations