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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. 15426
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    Explanations

    instances where individuals are emotionally affected by various situations

    oai_token-act-pair · gpt-3.5-turbo

    references to being offended or surprised

    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
    LO
    -0.75
    umbered
    -0.73
    naissance
    -0.73
    provided
    -0.72
    ourage
    -0.71
    readable
    -0.70
    SPONSORED
    -0.69
    NS
    -0.69
    ASE
    -0.69
    accessible
    -0.68
    POSITIVE LOGITS
    products
    0.94
     virtue
    0.83
     various
    0.70
     mobs
    0.70
     Hurricane
    0.68
     nature
    0.65
     partisans
    0.65
     creditors
    0.64
     default
    0.64
     Moonlight
    0.63
    Activations Density 0.075%

    No Known Activations