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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. 4-RES-JB
    11. 6734
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    Explanations

    the verb "lay" with varying degrees of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "lay" in various contexts

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

    No Comments

    Negative Logits
    ilation
    -0.76
    obs
    -0.73
    ilee
    -0.73
    ACTION
    -0.68
    iles
    -0.68
    okemon
    -0.68
    ernaut
    -0.67
    ilar
    -0.67
    andom
    -0.63
    qua
    -0.63
    POSITIVE LOGITS
    \\\\\\\\
    0.85
    utenant
    0.82
    ndra
    0.80
    ayer
    0.79
    sheet
    0.79
    wer
    0.77
    sembly
    0.77
     groundwork
    0.77
    ¶æ
    0.76
     siege
    0.75
    Activations Density 0.013%

    No Known Activations