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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. 4-RES-JB
    11. 10065
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    Explanations

    verbs related to directing attention or effort toward specific tasks or goals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "focus."

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

    No Comments

    Negative Logits
    nick
    -0.68
    idden
    -0.67
    named
    -0.66
    ston
    -0.66
    added
    -0.66
    Haunted
    -0.65
    conduct
    -0.64
     Gleaming
    -0.63
    artifacts
    -0.62
    ihad
    -0.61
    POSITIVE LOGITS
     focus
    0.89
     focuses
    0.83
    focus
    0.83
     focusing
    0.83
    Focus
    0.81
     Focus
    0.81
    ggle
    0.79
    ivities
    0.77
    iture
    0.77
    rite
    0.76
    Activations Density 0.021%

    No Known Activations