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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. 3503
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    Explanations

    mentions of division, split, or disagreement within different contexts, such as politics, society, or groups of people

    oai_token-act-pair · gpt-3.5-turbo

    references to division or polarization within various contexts

    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
    oken
    -0.72
    ITNESS
    -0.72
    elin
    -0.70
    psc
    -0.68
    tower
    -0.68
    ogle
    -0.67
    skirts
    -0.66
    enhagen
    -0.66
    anish
    -0.66
    OD
    -0.63
    POSITIVE LOGITS
     between
    0.84
    iveness
    0.79
     divided
    0.78
     divides
    0.78
     hairs
    0.78
     evenly
    0.78
     factions
    0.75
     alleg
    0.75
     divide
    0.74
     allegiance
    0.72
    Activations Density 0.060%

    No Known Activations