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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 804
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    Explanations

    instances of the word "passed" in the context of legislation

    oai_token-act-pair · gpt-4-turbo

    mentions of laws or bills being passed

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "passed" in relation to legislation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    grave
    -0.73
    aiman
    -0.66
    birds
    -0.65
    stic
    -0.60
     finale
    -0.59
     prin
    -0.58
    vation
    -0.57
    jun
    -0.57
    Sullivan
    -0.57
     substrate
    -0.56
    POSITIVE LOGITS
     passed
    0.95
     Passed
    0.93
    TPPStreamerBot
    0.81
     Passing
    0.81
     muster
    0.80
    ãģĨ
    0.77
    wd
    0.76
    smanship
    0.72
     unanimously
    0.72
    iard
    0.72
    Activations Density 0.021%

    No Known Activations