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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. 9-RES-JB
    11. 15791
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    Explanations

    verbs related to negative actions or consequences

    oai_token-act-pair · gpt-3.5-turbo

    verbs and phrases associated with actions that cause harm or influence outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cerning
    -0.67
    seek
    -0.67
    "},
    -0.65
     spons
    -0.62
    rug
    -0.61
    FORE
    -0.61
     reserved
    -0.60
    ny
    -0.59
    nings
    -0.58
     considering
    -0.58
    POSITIVE LOGITS
    ively
    1.04
     herself
    0.83
     himself
    0.83
    ibly
    0.82
     yourselves
    0.80
    ingly
    0.73
     yourself
    0.72
     themselves
    0.71
    auga
    0.71
    urally
    0.68
    Activations Density 0.480%

    No Known Activations