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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. 10-RES-JB
    11. 1234
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to problem-solving or figuring things out

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    isSpecialOrderable
    -0.76
    ONG
    -0.72
    interstitial
    -0.70
    oqu
    -0.69
    ĸļ
    -0.66
    awn
    -0.65
    IUM
    -0.65
    mite
    -0.62
    ãĥĨ
    -0.62
    ublic
    -0.62
    POSITIVE LOGITS
     how
    1.53
     why
    1.38
     ways
    1.33
     WHY
    1.16
     what
    1.15
    how
    1.06
     whether
    1.06
     HOW
    1.05
     whats
    1.04
    why
    1.02
    Activations Density 0.050%

    No Known Activations