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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. 4857
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    Explanations

    references to excessive or undue behavior, especially related to force or bureaucracy

    oai_token-act-pair · gpt-3.5-turbo

    terms related to excessive actions or behaviors, particularly concerning force or other impactful measures

    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
    ector
    -0.91
    stone
    -0.87
    stones
    -0.86
    ians
    -0.84
    ect
    -0.84
    onite
    -0.83
    imore
    -0.78
    ologies
    -0.76
    izen
    -0.75
    rooms
    -0.74
    POSITIVE LOGITS
     reliance
    1.02
     burdens
    0.92
     burden
    0.87
     consumption
    0.87
     repet
    0.86
     spending
    0.86
     excessive
    0.85
     repetition
    0.84
     duplication
    0.82
     aggressive
    0.80
    Activations Density 0.115%

    No Known Activations