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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. 4975
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    Explanations

    verbs or adjectives emphasizing or highlighting certain points in a text

    oai_token-act-pair · gpt-3.5-turbo

    words that indicate emphasis or clarification of key concepts

    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
    RAW
    -0.67
     unprotected
    -0.67
     rebellious
    -0.64
     eccentric
    -0.63
     captives
    -0.63
     blindly
    -0.63
     leftover
    -0.62
     neutrality
    -0.62
     felon
    -0.61
     traitor
    -0.61
    POSITIVE LOGITS
    ighed
    1.26
    uates
    1.22
    uated
    1.15
    uating
    1.12
    ued
    1.07
    icating
    1.05
    uing
    1.04
    uate
    1.03
    ues
    1.03
    isions
    1.03
    Activations Density 0.121%

    No Known Activations