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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. 8-RES-JB
    11. 17164
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    Explanations

    words related to feelings of satisfaction or pleasure

    oai_token-act-pair · gpt-3.5-turbo

    terms related to gratitude and stimulation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hound
    -0.78
    hood
    -0.69
    byss
    -0.67
    rio
    -0.66
    bear
    -0.65
    DIT
    -0.63
     Kinnikuman
    -0.63
    otype
    -0.62
     Nile
    -0.62
     sep
    -0.61
    POSITIVE LOGITS
    uitous
    0.87
    apo
    0.79
    ants
    0.79
    enged
    0.77
    rant
    0.75
    hetamine
    0.71
    ant
    0.71
    itude
    0.70
    ruck
    0.70
    ateg
    0.69
    Activations Density 0.126%

    No Known Activations