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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. 6075
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    Explanations

    technical or formal terms and acronyms

    oai_token-act-pair · gpt-3.5-turbo

    words and suffixes related to actions or processes

    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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    Negative Logits
    soDeliveryDate
    -0.84
    ãĥ£
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     mosqu
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    herty
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    sylv
    -0.65
    CHR
    -0.63
    accompan
    -0.62
    bern
    -0.61
     unbeliev
    -0.61
    rib
    -0.61
    POSITIVE LOGITS
    ary
    1.45
    ally
    1.41
    naire
    1.25
    ist
    1.15
    aires
    1.11
    aries
    1.08
    ality
    1.06
    ists
    1.04
    hower
    1.00
    alist
    0.98
    Activations Density 0.175%

    No Known Activations