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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20290
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    Explanations

    references to something being done individually, specifically using the term "solo"

    oai_token-act-pair · gpt-3.5-turbo

    references to solo performances or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mosp
    -0.78
     Hussein
    -0.70
     Hussain
    -0.66
     inacc
    -0.66
     Authorities
    -0.65
    mos
    -0.64
     CPC
    -0.63
     Ezekiel
    -0.62
    oras
    -0.60
    ENCY
    -0.60
    POSITIVE LOGITS
    iliary
    0.86
     solo
    0.78
    spective
    0.78
     piano
    0.76
    ized
    0.74
    allo
    0.73
    itus
    0.73
    andowski
    0.72
    queue
    0.72
    ited
    0.69
    Activations Density 0.016%

    No Known Activations