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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. 4980
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    Explanations

    emotional and mental states, especially negative ones, and related physical sensations

    oai_token-act-pair · gpt-3.5-turbo

    emotional states and reactions related to confusion, heartache, and dissatisfaction

    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
     transitions
    -0.81
     predecessors
    -0.79
     succession
    -0.79
     fabrication
    -0.76
     designation
    -0.75
     legitimacy
    -0.74
     watershed
    -0.72
     contribution
    -0.71
     landfill
    -0.70
     stabilization
    -0.69
    POSITIVE LOGITS
    azed
    1.45
    urbed
    1.41
    cerned
    1.34
    raged
    1.29
    informed
    1.27
    stru
    1.26
    ooked
    1.25
    rified
    1.23
    sided
    1.20
    ivated
    1.20
    Activations Density 0.195%

    No Known Activations