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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. 6138
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    Explanations

    descriptive phrases related to actions or events, particularly involving risk or consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental issues and their consequences

    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
    aurus
    -0.75
    mie
    -0.70
    allows
    -0.69
    roo
    -0.64
    INGTON
    -0.63
    ndum
    -0.61
    issance
    -0.61
    DragonMagazine
    -0.61
    idon
    -0.58
    cgi
    -0.57
    POSITIVE LOGITS
     themselves
    1.18
     careers
    0.95
     spouses
    0.86
     outright
    0.84
     subsidiaries
    0.80
     professions
    0.80
     histories
    0.77
     either
    0.75
     misdem
    0.74
     individually
    0.74
    Activations Density 0.865%

    No Known Activations