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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. 9-RES-JB
    11. 5963
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    Explanations

    unexpected or significant events happening or being revealed

    oai_token-act-pair · gpt-3.5-turbo

    key concepts or events that provoke reflection or reveal important information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endars
    -0.76
    hner
    -0.74
    azeera
    -0.74
     originals
    -0.69
    addons
    -0.69
    arer
    -0.68
     EntityItem
    -0.68
    aughtered
    -0.65
     cabinets
    -0.64
    ammers
    -0.63
    POSITIVE LOGITS
     whereby
    0.94
    :
    0.93
     involving
    0.89
     regarding
    0.88
    :(
    0.87
    :[
    0.87
    :#
    0.84
    :-
    0.83
     wherein
    0.81
    !:
    0.81
    Activations Density 0.311%

    No Known Activations