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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. 24226
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    Explanations

    verbs related to specific actions

    oai_token-act-pair · gpt-3.5-turbo

    action verbs associated with processes or tasks

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     trave
    -0.73
     suspic
    -0.69
     notor
    -0.68
     Templ
    -0.66
     concess
    -0.65
     lawy
    -0.65
     davidjl
    -0.60
     Palestin
    -0.60
     cinem
    -0.60
    aples
    -0.60
    POSITIVE LOGITS
    ings
    1.89
    ability
    1.58
    able
    1.56
    ers
    1.51
    ables
    1.45
    nings
    1.38
    overs
    1.36
    ership
    1.34
    downs
    1.32
    outs
    1.27
    Activations Density 0.524%

    No Known Activations