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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. 23049
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    Explanations

    numbers and punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    structured elements commonly found in legal documents and discussions

    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
     CLR
    -0.72
    Sounds
    -0.69
     guiActiveUnfocused
    -0.68
     Gleaming
    -0.67
    è¦
    -0.67
    uala
    -0.67
     UID
    -0.66
    emort
    -0.66
     Tribunal
    -0.65
     Cosponsors
    -0.64
    POSITIVE LOGITS
    emonic
    0.72
    dx
    0.71
    mma
    0.70
    dm
    0.69
    politics
    0.69
    kl
    0.68
    stem
    0.68
    example
    0.66
    facebook
    0.66
    rc
    0.65
    Activations Density 0.248%

    No Known Activations