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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. 9-RES-JB
    11. 1018
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    Explanations

    activities or hobbies related to different outdoor and physical pursuits

    oai_token-act-pair · gpt-3.5-turbo

    gerunds or activities represented as nouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ifer
    -0.71
    pering
    -0.71
    ifier
    -0.70
    alion
    -0.69
    eus
    -0.68
    alions
    -0.68
    of
    -0.68
    pps
    -0.68
    uti
    -0.67
    plementation
    -0.67
    POSITIVE LOGITS
     oneself
    0.94
    redients
    0.88
     habits
    0.88
     alone
    0.84
     outdoors
    0.79
     Tips
    0.76
    HAM
    0.75
     buddies
    0.74
    Tips
    0.73
     activities
    0.73
    Activations Density 0.303%

    No Known Activations