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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. 0-RES-JB
    11. 9775
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    INDEX
    Explanations

    mentions or emphasis on specific sizes

    oai_token-act-pair · gpt-3.5-turbo

    references to "size"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hemy
    -0.69
    brew
    -0.66
    Hon
    -0.65
    alde
    -0.65
    conservancy
    -0.63
    iscover
    -0.62
    rahim
    -0.62
    yne
    -0.61
    rab
    -0.60
    utsch
    -0.60
    POSITIVE LOGITS
     size
    3.75
     sizes
    2.98
     Size
    2.78
    size
    2.65
    Size
    2.45
     sized
    2.04
     sizing
    1.96
     length
    1.94
     diameter
    1.94
    SIZE
    1.91
    Activations Density 0.022%

    No Known Activations