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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. 6-RES-JB
    6. 6741
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    Explanations

    numerical ranges or limits

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating maximum limits or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    birds
    -0.66
    brook
    -0.66
    Moving
    -0.64
    rats
    -0.64
    went
    -0.64
     Wiz
    -0.63
    NEY
    -0.62
     Perspective
    -0.59
    Reviewer
    -0.59
    Smart
    -0.58
    POSITIVE LOGITS
    pload
    1.04
    capacity
    0.79
    perty
    0.75
     date
    0.74
    200000
    0.73
    kw
    0.71
    thirds
    0.71
    atever
    0.70
    abyte
    0.70
    undreds
    0.65
    Activations Density 0.039%

    No Known Activations