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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. 9-RES-JB
    11. 23743
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    Explanations

    strong emotional words or actions

    oai_token-act-pair · gpt-3.5-turbo

    special characters or non-text elements in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     subclass
    -0.62
    ashington
    -0.62
     seiz
    -0.59
     externalToEVAOnly
    -0.59
    utenberg
    -0.59
     submar
    -0.57
    dfx
    -0.57
     destro
    -0.56
    CRE
    -0.55
    erial
    -0.54
    POSITIVE LOGITS
    ments
    1.32
     Yourself
    1.30
    able
    1.29
    ables
    1.21
    ment
    1.21
     yourselves
    1.20
     yourself
    1.19
    ings
    1.17
    ability
    1.15
    MENT
    1.12
    Activations Density 0.403%

    No Known Activations