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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. 7-RES-JB
    11. 21155
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    Explanations

    phrases related to causes or reasons for something happening, particularly related to negative outcomes

    oai_token-act-pair · gpt-3.5-turbo

    references to societal, medical, and political issues and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ifies
    -0.78
    soDeliveryDate
    -0.75
    heit
    -0.73
    Interested
    -0.71
    Stars
    -0.68
    Face
    -0.68
    ifier
    -0.68
    iform
    -0.65
    inates
    -0.64
    anguages
    -0.64
    POSITIVE LOGITS
     shortage
    0.95
     negligence
    0.94
     lack
    0.89
     misunderstanding
    0.88
     shortages
    0.85
     cumbers
    0.84
     circumstances
    0.83
     inability
    0.79
     constraints
    0.79
     scarcity
    0.78
    Activations Density 0.410%

    No Known Activations