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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. 3332
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    Explanations

    phrases related to sports play and performance

    oai_token-act-pair · gpt-3.5-turbo

    references to sports performance and gameplay

    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
     Beir
    -0.70
     9000
    -0.66
     mun
    -0.63
     parting
    -0.62
     quadru
    -0.61
     tow
    -0.60
     mosqu
    -0.59
     Kirin
    -0.59
     Nero
    -0.58
     ren
    -0.58
    POSITIVE LOGITS
    wright
    1.36
    ername
    1.31
    maker
    1.21
    testers
    1.10
    makers
    1.10
    style
    1.08
    making
    1.07
    calling
    1.07
    wr
    1.06
    styles
    1.06
    Activations Density 0.043%

    No Known Activations