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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. 11221
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    Explanations

    phrases describing alignment, matching, or coincidence between different entities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to correspondence or alignment between concepts or events

    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
    chat
    -0.60
    zan
    -0.59
    æµ
    -0.59
    ËĪ
    -0.59
    ond
    -0.58
    worms
    -0.57
     hunted
    -0.56
     recomm
    -0.56
     beware
    -0.56
    abouts
    -0.55
    POSITIVE LOGITS
     nicely
    1.11
     neatly
    1.02
     closely
    0.92
     perfectly
    0.90
     sharply
    0.86
     squarely
    0.80
     favorably
    0.78
     stark
    0.76
    Against
    0.74
     poorly
    0.72
    Activations Density 0.187%

    No Known Activations