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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. 2049
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    Explanations

    phrases indicating events or actions happening one time or during a specific time period

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express rare or unique occurrences

    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
    Alert
    -0.91
    ORTS
    -0.70
    strings
    -0.70
    TextColor
    -0.69
    ////////////////
    -0.68
    Israeli
    -0.67
    Letter
    -0.67
     Downs
    -0.67
    د
    -0.66
     NK
    -0.66
    POSITIVE LOGITS
    ividual
    0.84
    jriwal
    0.77
    iliated
    0.76
    iated
    0.75
     mastered
    0.75
    ghan
    0.74
    hemer
    0.73
    pload
    0.71
    itent
    0.70
    aned
    0.70
    Activations Density 0.102%

    No Known Activations