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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. 3-RES-JB
    11. 16234
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    INDEX
    Explanations

    phrases related to intense or critical situations or events

    oai_token-act-pair · gpt-3.5-turbo

    references to prolonged confrontations or difficult situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odor
    -0.77
    sample
    -0.71
    Cola
    -0.68
    OTT
    -0.68
    GC
    -0.67
    College
    -0.67
    bleacher
    -0.66
    Republic
    -0.66
    living
    -0.66
    Written
    -0.66
    POSITIVE LOGITS
     standoff
    1.52
    terness
    0.84
    ishly
    0.81
     siege
    0.78
     negotiator
    0.77
    emate
    0.76
     confrontation
    0.74
     negotiators
    0.74
     hostage
    0.72
     closure
    0.71
    Activations Density 0.008%

    No Known Activations