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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. 4-RES-JB
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    Explanations

    political and legislative proposals

    oai_token-act-pair · gpt-3.5-turbo

    references to legislative proposals and plans

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     IPM
    -0.79
     Ran
    -0.79
     Dh
    -0.74
     Moor
    -0.74
     Kard
    -0.73
     enqu
    -0.72
     Canal
    -0.68
     Pont
    -0.68
    andise
    -0.67
     Qing
    -0.65
    POSITIVE LOGITS
    clinton
    0.94
     guts
    0.91
     ObamaCare
    0.87
     chops
    0.86
     filib
    0.84
    amacare
    0.77
     appropriations
    0.77
     favors
    0.76
     stances
    0.76
     rollout
    0.75
    Activations Density 0.172%

    No Known Activations