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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
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    No Comments

    Negative Logits
     Canaver
    -0.69
    cific
    -0.66
    pedia
    -0.65
     Byrne
    -0.63
    tnc
    -0.62
     Klux
    -0.62
     empath
    -0.62
    igslist
    -0.61
     Rhod
    -0.60
    sol
    -0.59
    POSITIVE LOGITS
    eele
    0.71
    rollers
    0.70
     ($)
    0.70
    hander
    0.69
    roller
    0.67
     Nope
    0.66
    pants
    0.65
     Jacket
    0.64
     Moff
    0.63
    loader
    0.62
    Activations Density 0.055%

    No Known Activations