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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. 11-RES-JB
    11. 11942
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    Explanations

    specific actions related to setting limits or establishing rules

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and references to limits or ceilings in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itia
    -0.79
    olph
    -0.73
    amines
    -0.72
    USS
    -0.71
    artifacts
    -0.71
     Chimera
    -0.70
    Voice
    -0.70
    VPN
    -0.70
    Ü
    -0.69
    acan
    -0.68
    POSITIVE LOGITS
     deadline
    1.55
     limit
    1.51
     threshold
    1.51
     thresholds
    1.41
     maximum
    1.41
     minimum
    1.38
     amount
    1.36
     cutoff
    1.35
     allowable
    1.32
     number
    1.27
    Activations Density 0.281%

    No Known Activations