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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. 2274
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    Explanations

    references to sports and specific sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to games and their related content

    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
    ierre
    -0.81
    hirt
    -0.80
    eret
    -0.79
    ractive
    -0.68
    aternity
    -0.66
    othy
    -0.65
    obic
    -0.64
    ollar
    -0.62
    ellow
    -0.62
    sic
    -0.62
    POSITIVE LOGITS
     Thrones
    0.87
     consoles
    0.80
     Powered
    0.80
    Pause
    0.74
     Hitman
    0.71
    TAG
    0.71
     DRM
    0.70
     Archdemon
    0.68
    plays
    0.68
     guiActiveUnfocused
    0.68
    Activations Density 0.508%

    No Known Activations