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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. 8-RES-JB
    11. 10557
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    Explanations

    phrases indicating a collective response or action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "We" indicating collective statements or opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cum
    -0.67
     quo
    -0.67
     totality
    -0.65
     srfAttach
    -0.59
     resting
    -0.59
     LSD
    -0.59
     PUBLIC
    -0.58
     gratification
    -0.58
     Watt
    -0.56
     bloc
    -0.56
    POSITIVE LOGITS
    akening
    1.29
    ird
    1.21
    eks
    1.18
    alth
    1.18
    bsite
    1.18
    ldon
    1.17
    ighed
    1.17
    've
    1.15
    athered
    1.14
    bley
    1.13
    Activations Density 0.138%

    No Known Activations