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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. 19473
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    Explanations

    situations where there's urgency or a sudden need for quick action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "scramble" and its variations, indicating chaotic or hurried situations

    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
    hetical
    -0.70
    oral
    -0.69
    mentioned
    -0.68
    paying
    -0.65
    jury
    -0.64
    incarn
    -0.62
    gone
    -0.61
    rica
    -0.60
    lied
    -0.59
    abuse
    -0.59
    POSITIVE LOGITS
     scramble
    1.33
     scram
    1.17
     scrambled
    1.02
     scrambling
    1.01
    CLASSIFIED
    0.86
    berry
    0.85
    weed
    0.83
    ãĤ§
    0.78
     eggs
    0.71
    DAQ
    0.70
    Activations Density 0.008%

    No Known Activations