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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. 23294
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    Explanations

    the word "reason"

    oai_token-act-pair · gpt-3.5-turbo

    references to reasoning and logic

    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
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    No Comments

    Negative Logits
    helle
    -0.91
    borg
    -0.76
    oppable
    -0.67
    fen
    -0.65
    assault
    -0.65
    olor
    -0.63
    amorph
    -0.63
    metry
    -0.63
    avorite
    -0.62
    hirt
    -0.62
    POSITIVE LOGITS
    ably
    1.14
    abl
    1.05
    iotic
    0.93
    ality
    0.86
    idge
    0.84
    iotics
    0.83
    itive
    0.79
    ibles
    0.79
    abilities
    0.77
    vier
    0.74
    Activations Density 0.115%

    No Known Activations