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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. 15936
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    Explanations

    phrases related to issues of concern or worry

    oai_token-act-pair · gpt-3.5-turbo

    contexts where people express worry or interest about various issues

    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
    artifacts
    -0.89
    robe
    -0.71
    arak
    -0.70
    obs
    -0.70
    arb
    -0.69
    sung
    -0.69
    ingers
    -0.69
     Bom
    -0.69
    alter
    -0.67
    PASS
    -0.67
    POSITIVE LOGITS
     citiz
    0.73
     Carmen
    0.73
     trolling
    0.73
     proble
    0.71
     Concern
    0.69
    atives
    0.68
     Emin
    0.68
    enza
    0.67
     Wynne
    0.66
    reon
    0.64
    Activations Density 0.021%

    No Known Activations