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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. 6107
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms that indicate a large quantity or variety of items

    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
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    No Comments

    Negative Logits
     Matter
    -0.69
    istan
    -0.60
    agate
    -0.58
    anium
    -0.56
     Tycoon
    -0.56
    matter
    -0.52
    ogens
    -0.52
    pring
    -0.52
    ulus
    -0.52
     euth
    -0.51
    POSITIVE LOGITS
     of
    0.82
    dozen
    0.74
    efully
    0.73
    ographical
    0.72
     newcom
    0.66
    ographies
    0.64
    CLASS
    0.64
    some
    0.64
    eful
    0.64
    alions
    0.64
    Activations Density 0.137%

    No Known Activations