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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. 1665
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    Explanations

    phrases related to threats, dangers, and negative impacts

    oai_token-act-pair · gpt-3.5-turbo

    words related to risk and social 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
    worldly
    -0.54
    respect
    -0.53
    okin
    -0.52
     Important
    -0.51
    ccording
    -0.50
    vel
    -0.50
    cipled
    -0.50
    axter
    -0.50
    roph
    -0.50
    gov
    -0.49
    POSITIVE LOGITS
    eers
    0.76
    osphere
    0.63
     outweigh
    0.63
    ariat
    0.63
     mund
    0.60
    aires
    0.56
    iest
    0.56
     moniker
    0.55
     fiasco
    0.54
    liest
    0.53
    Activations Density 1.067%

    No Known Activations