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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. 6-RES-JB
    11. 2964
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    INDEX
    Explanations

    adjectives describing emotional states such as anger, anxiety, concern, and gratitude

    oai_token-act-pair · gpt-3.5-turbo

    emotions related to distress and agitation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ascript
    -0.81
    artifacts
    -0.79
    inctions
    -0.77
    Downloadha
    -0.76
    soDeliveryDate
    -0.73
    agate
    -0.70
    termination
    -0.69
    Reloaded
    -0.69
    perty
    -0.69
    BOOK
    -0.68
    POSITIVE LOGITS
     souls
    0.99
     masses
    0.98
     onlook
    0.96
     individuals
    0.92
    ness
    0.90
     minds
    0.86
     populace
    0.85
     voices
    0.84
     tones
    0.80
     youngsters
    0.79
    Activations Density 0.206%

    No Known Activations