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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. 11962
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    Explanations

    references to skiing

    oai_token-act-pair · gpt-3.5-turbo

    references to skiing activities and related events

    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
    ication
    -0.80
    orate
    -0.78
    enance
    -0.78
    icate
    -0.73
    icating
    -0.73
    NESS
    -0.71
    icated
    -0.70
     Kore
    -0.68
    eous
    -0.68
    ector
    -0.66
    POSITIVE LOGITS
     skiing
    0.97
     slope
    0.96
     ski
    0.96
     slopes
    0.93
     resorts
    0.91
    lift
    0.86
    otin
    0.83
     Rapids
    0.82
     Ski
    0.82
     goggles
    0.79
    Activations Density 0.020%

    No Known Activations