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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. 6-RES-JB
    11. 509
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    Explanations

    comparative words or phrases indicating a higher degree

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating an increase or emphasis in quantity or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gio
    -0.83
    only
    -0.74
    hend
    -0.69
    Hide
    -0.68
    ocene
    -0.67
     Dome
    -0.64
    folk
    -0.63
    pei
    -0.63
    meet
    -0.63
     Nile
    -0.62
    POSITIVE LOGITS
     than
    0.74
    orks
    0.68
    baugh
    0.66
    atos
    0.63
     ambitious
    0.63
    ypes
    0.62
     stringent
    0.61
    thinkable
    0.61
     awaited
    0.60
    EngineDebug
    0.60
    Activations Density 0.055%

    No Known Activations