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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. 24487
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    Explanations

    references to Pro Football Focus

    oai_token-act-pair · gpt-3.5-turbo

    references to professional football and its related statistics

    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
     ponds
    -0.74
     similarities
    -0.70
    }}}
    -0.67
     precincts
    -0.67
    ĸļ
    -0.66
    ItemThumbnailImage
    -0.61
    ById
    -0.60
    å·
    -0.60
     Cobb
    -0.59
    WIND
    -0.59
    POSITIVE LOGITS
    imity
    0.85
    incial
    0.81
    agonist
    0.81
    etary
    0.77
    asus
    0.75
    mire
    0.73
    restling
    0.72
    agate
    0.72
    bably
    0.71
    cia
    0.71
    Activations Density 0.115%

    No Known Activations