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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. 3-RES-JB
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    Explanations

    the word "focus" followed by another word or phrase

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "focus" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idden
    -0.72
    asca
    -0.68
    MpServer
    -0.68
     Casino
    -0.67
    artifacts
    -0.66
    ania
    -0.64
     Gleaming
    -0.64
    cffffcc
    -0.63
    conduct
    -0.62
    named
    -0.60
    POSITIVE LOGITS
     focus
    0.91
     focuses
    0.90
    focus
    0.90
     foc
    0.84
     focused
    0.82
     focusing
    0.81
    starter
    0.81
    Focus
    0.78
     reel
    0.77
    rite
    0.76
    Activations Density 0.021%

    No Known Activations