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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. 11-RES-JB
    11. 4213
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    Explanations

    references to data or evidence being presented or displayed

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the presentation of data or evidence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -1.02
    nai
    -0.77
    ê
    -0.76
    pton
    -0.74
    ãĤ´ãĥ³
    -0.74
    SOURCE
    -0.74
    76561
    -0.72
    youtube
    -0.71
    ictionary
    -0.71
    thood
    -0.68
    POSITIVE LOGITS
     how
    1.18
     us
    0.91
     that
    0.90
     similarities
    0.89
     why
    0.86
    ered
    0.82
     flashes
    0.78
     signs
    0.75
     parallels
    0.74
     unmist
    0.73
    Activations Density 0.077%

    No Known Activations