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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. 2380
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    Explanations

    personal characteristics or state of being

    oai_token-act-pair · gpt-3.5-turbo

    subjects and their corresponding states or actions

    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
    raltar
    -0.69
    neutral
    -0.67
     scraps
    -0.62
    winner
    -0.58
    folios
    -0.57
     plur
    -0.57
    ike
    -0.56
    olon
    -0.56
    arser
    -0.55
    hea
    -0.55
    POSITIVE LOGITS
     compared
    0.75
    inventoryQuantity
    0.74
     spiritually
    0.69
    Interstitial
    0.67
    Reviewer
    0.65
     physically
    0.64
    ],[
    0.63
    advertisement
    0.62
     intellectually
    0.61
    Merit
    0.61
    Activations Density 0.174%

    No Known Activations