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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. 23644
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    Explanations

    words related to health, actions or conditions that can pose health risks, and technological terms

    oai_token-act-pair · gpt-3.5-turbo

    words indicating associations or connections between concepts

    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
    spring
    -0.78
     Dane
    -0.71
    Frag
    -0.71
     Discipline
    -0.70
     Diet
    -0.69
     Hoff
    -0.69
     Rapids
    -0.68
    ector
    -0.68
     Ports
    -0.65
     Grip
    -0.65
    POSITIVE LOGITS
     moderately
    0.95
     awfully
    0.93
     perfectly
    0.88
    too
    0.86
     specially
    0.84
     exceptionally
    0.81
     necessarily
    0.80
     unusually
    0.80
     extremely
    0.79
     badly
    0.79
    Activations Density 0.368%

    No Known Activations