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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 4297
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    INDEX
    Explanations

    unexpected or surprising elements within a narrative

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating new developments or significant changes in circumstances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arer
    -0.71
     Unloaded
    -0.70
    hner
    -0.69
    inventoryQuantity
    -0.68
    urated
    -0.67
    hovah
    -0.66
    arus
    -0.66
    hement
    -0.64
    addons
    -0.64
     Indies
    -0.63
    POSITIVE LOGITS
    :,
    0.87
    :
    0.86
    :]
    0.86
     namely
    0.80
    :#
    0.77
    ]:
    0.76
    %:
    0.76
    ():
    0.75
    :[
    0.74
    !:
    0.73
    Activations Density 0.375%

    No Known Activations