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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. 8-RES-JB
    11. 24479
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    INDEX
    Explanations

    verbs indicating events or actions

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to the occurrence or continuation of events and conditions

    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
    heid
    -0.86
    igion
    -0.72
    inventoryQuantity
    -0.71
     Discrimination
    -0.67
     Alone
    -0.66
    eez
    -0.65
     Carbuncle
    -0.65
    thood
    -0.64
     Notting
    -0.63
     Frie
    -0.61
    POSITIVE LOGITS
     emerge
    0.91
     arise
    0.78
     arising
    0.71
     unravel
    0.67
    piring
    0.67
     incorpor
    0.67
     percept
    0.66
    between
    0.65
     discern
    0.65
    uph
    0.64
    Activations Density 0.315%

    No Known Activations