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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. 11-RES-JB
    11. 6031
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    Explanations

    sports-related statistics and outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports statistics and performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aminer
    -0.77
    Redditor
    -0.75
    ragon
    -0.66
    burst
    -0.65
    eyed
    -0.64
    icter
    -0.63
    rum
    -0.63
    usher
    -0.63
    Actor
    -0.63
    eous
    -0.62
    POSITIVE LOGITS
     meetings
    0.97
     games
    0.88
     matchups
    0.87
     outings
    0.86
     defeats
    0.85
     losses
    0.81
     road
    0.78
     exhibitions
    0.77
     home
    0.75
     matches
    0.75
    Activations Density 0.154%

    No Known Activations