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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. 7682
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    Explanations

    phrases related to problem-solving and decision-making

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to problem-solving and figuring things out

    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
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    No Comments

    Negative Logits
    ĸļ
    -0.78
    isSpecialOrderable
    -0.73
    BuyableInstoreAndOnline
    -0.70
    ONG
    -0.68
     Aware
    -0.68
    IUM
    -0.64
    oscope
    -0.63
    interstitial
    -0.61
    ORS
    -0.61
    orescent
    -0.61
    POSITIVE LOGITS
     how
    1.45
     why
    1.35
     ways
    1.25
     what
    1.20
     exactly
    1.14
     whats
    1.13
     WHY
    1.13
     HOW
    1.09
     whether
    1.08
     whence
    1.05
    Activations Density 0.047%

    No Known Activations