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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
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    Explanations

    adjectives related to emotional states

    oai_token-act-pair · gpt-3.5-turbo

    emotions and states of well-being

    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
    hops
    -1.03
    events
    -0.94
    assies
    -0.94
    artifacts
    -0.91
    units
    -0.90
    groups
    -0.85
    deals
    -0.85
    ometers
    -0.80
    stories
    -0.80
    items
    -0.80
    POSITIVE LOGITS
     version
    0.81
     tide
    0.80
     slate
    0.76
     handful
    0.76
     disposition
    0.76
     assortment
    0.75
     swath
    0.74
     complexion
    0.74
     timetable
    0.74
     streak
    0.74
    Activations Density 0.360%

    No Known Activations