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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. 11-RES-JB
    11. 11377
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    Explanations

    adjectives for describing things in a positive or interesting way

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that convey excitement or interest

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.96
    hyde
    -0.79
    externalActionCode
    -0.79
    ylum
    -0.75
    clair
    -0.74
    ossession
    -0.73
    obook
    -0.72
    ĺħ
    -0.71
    CLE
    -0.70
     sufficient
    -0.70
    POSITIVE LOGITS
     things
    1.41
     stuff
    1.37
     ideas
    1.20
     surprises
    1.17
     moments
    1.17
     examples
    1.16
     tid
    1.14
     goodies
    1.13
     tricks
    1.11
     aspects
    1.10
    Activations Density 0.220%

    No Known Activations