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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. 4-RES-JB
    11. 1325
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    Explanations

    verbs related to ascribing characteristics to specific entities

    oai_token-act-pair · gpt-3.5-turbo

    words associated with attribution and evaluation

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

    No Comments

    Negative Logits
     aw
    -0.63
     attendant
    -0.62
     vib
    -0.62
     reach
    -0.60
    ista
    -0.59
    nes
    -0.58
     xml
    -0.58
     mixer
    -0.57
    EXP
    -0.57
    externalActionCode
    -0.57
    POSITIVE LOGITS
    phas
    0.87
    enance
    0.81
     oneself
    0.76
    ently
    0.75
    Ĥª
    0.72
    uate
    0.70
    untarily
    0.70
     them
    0.70
    isons
    0.69
     ourselves
    0.68
    Activations Density 0.194%

    No Known Activations