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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. 3-RES-JB
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    Explanations

    references to the word "Sho" with varying activations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Sho" and related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    manship
    -0.93
    enegger
    -0.86
     Lethal
    -0.81
    iard
    -0.75
    puter
    -0.71
    BuyableInstoreAndOnline
    -0.71
    illary
    -0.69
     divid
    -0.69
    interstitial
    -0.68
    ioned
    -0.68
    POSITIVE LOGITS
     Sho
    1.02
    zzle
    0.83
    ests
    0.78
    vel
    0.78
    ochond
    0.76
    vernment
    0.75
     Shu
    0.72
    ecast
    0.72
     Gow
    0.70
    udeb
    0.69
    Activations Density 0.012%

    No Known Activations