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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 15015
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    Explanations

    references to authors of written works

    oai_token-act-pair · gpt-3.5-turbo

    references to authors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asket
    -0.69
    ight
    -0.68
    ota
    -0.65
    yah
    -0.64
    union
    -0.62
    naire
    -0.60
    aband
    -0.60
     snapped
    -0.60
    stown
    -0.59
    hunt
    -0.59
    POSITIVE LOGITS
     authors
    3.85
     Authors
    2.58
     author
    2.35
    authors
    2.35
     writers
    2.11
     creators
    1.81
     editors
    1.71
     researchers
    1.70
     reviewers
    1.66
    writers
    1.60
    Activations Density 0.016%

    No Known Activations