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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
    11. 15452
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    Explanations

    terms related to regulations and constraints

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to concern or constraints in various contexts

    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
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    Negative Logits
    cules
    -0.84
    ombies
    -0.79
    ppo
    -0.78
    xual
    -0.76
    ï¸
    -0.74
    ctors
    -0.73
    76561
    -0.72
    mberg
    -0.71
    Downloadha
    -0.70
    anwhile
    -0.69
    POSITIVE LOGITS
    abulary
    1.15
    ellation
    1.11
    ipation
    1.11
    expr
    1.10
    rast
    1.00
    ricting
    0.98
    ricted
    0.96
    itution
    0.94
    rict
    0.91
    ruction
    0.89
    Activations Density 0.011%

    No Known Activations