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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. 18159
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    Explanations

    phrases where the speaker expresses strong emotions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing disbelief or irritation

    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
    Not in Any Lists

    No Comments

    Negative Logits
     punishment
    -0.58
    Interstitial
    -0.51
    umbnails
    -0.49
     totality
    -0.47
     unfocusedRange
    -0.45
     solitude
    -0.45
     travelers
    -0.44
    suits
    -0.44
     Recomm
    -0.44
     immersion
    -0.44
    POSITIVE LOGITS
    \.
    0.51
    EMBER
    0.50
    hess
    0.49
    gha
    0.47
    izzy
    0.46
    astical
    0.45
    ault
    0.44
    aq
    0.44
     GCC
    0.43
    lean
    0.42
    Activations Density 0.399%

    No Known Activations