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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. 4-RES-JB
    11. 12599
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    Explanations

    words related to drinks or beverages

    oai_token-act-pair · gpt-3.5-turbo

    words associated with positive emotions and joyful experiences

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

    No Comments

    Negative Logits
    andowski
    -0.87
    igration
    -0.83
    inen
    -0.77
    oir
    -0.74
    uther
    -0.73
    arium
    -0.73
    ational
    -0.73
    lection
    -0.72
    orers
    -0.72
    ault
    -0.72
    POSITIVE LOGITS
    zzy
    1.01
    glers
    0.91
    pants
    0.84
     seas
    0.84
    ness
    0.83
    bean
    0.83
    nesses
    0.78
    ::::
    0.76
     Pry
    0.74
     Doodle
    0.73
    Activations Density 0.034%

    No Known Activations