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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. 11816
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    Explanations

    codes or commands in a technical context

    oai_token-act-pair · gpt-3.5-turbo

    indicators of evaluations and classifications

    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
     destro
    -0.67
     dash
    -0.67
    versions
    -0.65
    ":[
    -0.64
     arrang
    -0.63
     centrif
    -0.61
     regul
    -0.61
     obe
    -0.61
     therap
    -0.59
    uyomi
    -0.59
    POSITIVE LOGITS
    asma
    0.76
    Unknown
    0.71
    ACTED
    0.70
    tek
    0.69
    Height
    0.69
    ixel
    0.68
    ructose
    0.64
     Comparison
    0.64
     Reply
    0.63
     Requires
    0.62
    Activations Density 0.261%

    No Known Activations