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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. 4-RES-JB
    11. 11361
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    Explanations

    instances where a specific phrase or concept is mentioned multiple times in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" used to introduce clauses or explanations

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

    No Comments

    Negative Logits
     Sioux
    -0.69
    robe
    -0.66
    Scot
    -0.63
    hips
    -0.61
    MH
    -0.60
    lean
    -0.60
    utsu
    -0.58
     Himself
    -0.56
    Guard
    -0.56
    lander
    -0.55
    POSITIVE LOGITS
     Canaver
    0.76
     pesky
    0.75
    ndra
    0.71
    interstitial
    0.67
    allery
    0.63
    dfx
    0.62
    DragonMagazine
    0.61
     sshd
    0.60
    ocating
    0.60
    iasis
    0.60
    Activations Density 0.111%

    No Known Activations