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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. 1385
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    Explanations

    action verbs

    oai_token-act-pair · gpt-3.5-turbo

    verbs that express emotions or judgments

    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
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    No Comments

    Negative Logits
     tyr
    -0.61
     mortg
    -0.61
     COURT
    -0.61
     challeng
    -0.60
     Seym
    -0.60
     foss
    -0.59
     disadvant
    -0.58
     comr
    -0.57
     embark
    -0.57
     Nom
    -0.57
    POSITIVE LOGITS
    ingly
    1.46
    eth
    1.42
    ings
    1.38
    able
    1.33
    ned
    1.28
    ifies
    1.19
    ably
    1.16
    fully
    1.16
    es
    1.13
    ates
    1.13
    Activations Density 0.228%

    No Known Activations