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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    scores in sports games

    oai_token-act-pair · gpt-3.5-turbo

    numerical scores and statistics pertaining to sports games

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yan
    -0.74
     priced
    -0.71
    arya
    -0.69
    regor
    -0.67
     explan
    -0.67
    pain
    -0.67
    orthy
    -0.65
    sonian
    -0.65
    oras
    -0.65
    anish
    -0.63
    POSITIVE LOGITS
     overtime
    0.85
    mph
    0.81
     mph
    0.81
     FG
    0.75
     MPH
    0.72
     halftime
    0.70
    ogether
    0.68
    ilibrium
    0.68
     Overt
    0.67
    umble
    0.67
    Activations Density 0.065%

    No Known Activations