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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. 10-RES-JB
    11. 4388
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    acronyms and abbreviations related to technology and telecommunications companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ously
    -0.75
    hold
    -0.71
    hot
    -0.67
    lets
    -0.61
    ufact
    -0.61
    ulative
    -0.60
    borough
    -0.59
     symp
    -0.59
    horn
    -0.59
    leon
    -0.58
    POSITIVE LOGITS
    ARGET
    1.17
    ypes
    1.17
    ECH
    1.13
    olkien
    1.12
    OWN
    1.11
    TY
    1.08
    uning
    1.06
    icket
    1.04
    urtle
    1.03
    TL
    1.02
    Activations Density 0.072%

    No Known Activations