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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. 3-RES-JB
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    Explanations

    phrases related to ballot measures or propositions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ballot measures or initiatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kut
    -0.77
    hered
    -0.71
    EMA
    -0.71
    PLIED
    -0.70
    auga
    -0.68
     Leilan
    -0.68
    iosis
    -0.67
     tremend
    -0.66
    icago
    -0.64
    atech
    -0.64
    POSITIVE LOGITS
     ballots
    1.00
    zeb
    0.92
    ndum
    0.91
     ballot
    0.90
     canv
    0.85
    ination
    0.83
     votes
    0.76
    iffs
    0.75
     polls
    0.74
     polling
    0.73
    Activations Density 0.006%

    No Known Activations