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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16075
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    Explanations

    statements indicating capability or action in the context of various scenarios

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "able."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Parents
    -0.69
     Concern
    -0.64
     Sins
    -0.64
     Gone
    -0.63
     Nose
    -0.60
     Caval
    -0.59
     Yose
    -0.59
     Bots
    -0.59
    alien
    -0.58
     Generation
    -0.58
    POSITIVE LOGITS
    bodied
    0.88
    't
    0.86
    ioned
    0.85
    reys
    0.83
    Reviewer
    0.80
    untarily
    0.78
     successfully
    0.78
    uate
    0.72
    uced
    0.72
    ittees
    0.72
    Activations Density 0.033%

    No Known Activations