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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. 7-RES-JB
    11. 10966
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    INDEX
    Explanations

    words related to the activity of skiing

    oai_token-act-pair · gpt-3.5-turbo

    mentions of skating or related activities

    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
     Mayweather
    -0.71
    terday
    -0.70
    Reloaded
    -0.65
    URES
    -0.63
    URE
    -0.63
     vested
    -0.62
     palpable
    -0.61
     Cause
    -0.61
     Ceres
    -0.61
     chronological
    -0.60
    POSITIVE LOGITS
    ipper
    1.20
    yrim
    1.20
    ippers
    1.13
    oop
    1.11
    irting
    1.07
    itter
    1.03
    irted
    1.02
    imming
    1.02
    ull
    0.96
    ipp
    0.95
    Activations Density 0.018%

    No Known Activations