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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. 23054
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    Explanations

    expressions of concern or disapproval

    oai_token-act-pair · gpt-3.5-turbo

    expressions of concern and negative emotions

    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
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    No Comments

    Negative Logits
    icle
    -0.78
    icles
    -0.65
     shoe
    -0.61
     destruct
    -0.61
     creat
    -0.60
     Loaded
    -0.60
     solvent
    -0.59
     citrus
    -0.56
     Alchemy
    -0.55
     phys
    -0.55
    POSITIVE LOGITS
     regarding
    0.80
     towards
    0.78
    llah
    0.75
     sidx
    0.75
    """
    0.73
     sentiments
    0.72
     toward
    0.72
    lessness
    0.71
    PsyNetMessage
    0.70
    externalActionCode
    0.69
    Activations Density 0.117%

    No Known Activations