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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. 9-RES-JB
    11. 1421
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    INDEX
    Explanations

    sports scores with specific numerical references

    oai_token-act-pair · gpt-3.5-turbo

    scoring or performance statistics related to sports events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agna
    -0.74
    many
    -0.68
     consulted
    -0.68
    adobe
    -0.64
    research
    -0.63
    haar
    -0.61
    places
    -0.60
    breeding
    -0.59
    work
    -0.59
     researching
    -0.58
    POSITIVE LOGITS
     halftime
    0.85
     underdog
    0.82
     deficit
    0.79
    ĪĴ
    0.74
     victory
    0.72
     win
    0.67
     defeat
    0.67
     rout
    0.66
     shootout
    0.66
     aggregate
    0.66
    Activations Density 0.032%

    No Known Activations