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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. 1-RES-JB
    11. 1063
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    INDEX
    Explanations

    phrases mentioning negative effects or consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to negative outcomes or effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liam
    -0.83
    rod
    -0.83
     Kinnikuman
    -0.78
    hips
    -0.75
    src
    -0.73
    ©¶æ¥µ
    -0.72
    rams
    -0.71
    xxxxxxxx
    -0.71
    chen
    -0.71
    essed
    -0.70
    POSITIVE LOGITS
     adverse
    1.19
     undermin
    1.02
     consequences
    0.96
     consequence
    0.93
     impacts
    0.91
     effects
    0.90
     outcomes
    0.87
     adversely
    0.86
     reactions
    0.82
     indu
    0.79
    Activations Density 0.010%

    No Known Activations