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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. 6518
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    Explanations

    words indicating negative or harmful impacts on society or individuals

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating negative impacts or consequences

    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
     submit
    -0.75
    rahim
    -0.63
    ALK
    -0.62
     cabinets
    -0.61
     Submission
    -0.59
     Nope
    -0.59
    agraph
    -0.58
    wcsstore
    -0.57
    ammad
    -0.57
    atography
    -0.57
    POSITIVE LOGITS
     havoc
    1.15
     impacts
    0.85
     impacting
    0.81
     reverber
    0.79
     tremend
    0.76
     undermin
    0.76
     spur
    0.75
     jeopard
    0.73
     humankind
    0.72
     morale
    0.72
    Activations Density 0.669%

    No Known Activations