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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. 9561
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    Explanations

    references to articles or written pieces of content

    oai_token-act-pair · gpt-3.5-turbo

    references to articles

    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
    cffff
    -0.87
    cffffcc
    -0.76
    edient
    -0.75
    elsius
    -0.74
    pter
    -0.74
    cled
    -0.70
    bered
    -0.69
     Nadu
    -0.69
    inav
    -0.68
    ascus
    -0.66
    POSITIVE LOGITS
    meal
    1.09
     articles
    0.87
     article
    0.79
     published
    0.77
     titled
    0.74
    abal
    0.73
     describing
    0.73
     detailing
    0.72
    hook
    0.72
    RFC
    0.69
    Activations Density 0.026%

    No Known Activations