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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. 10801
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    Explanations

    words related to thoroughness or completeness

    oai_token-act-pair · gpt-3.5-turbo

    references to thoroughness in investigations or evaluations

    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
     Rebels
    -0.69
     indirectly
    -0.68
     DRAG
    -0.64
    orea
    -0.64
    artifacts
    -0.63
    oras
    -0.62
    Kids
    -0.62
    dust
    -0.60
     peacefully
    -0.60
    Phones
    -0.59
    POSITIVE LOGITS
    bred
    1.24
     thorough
    1.02
    fare
    1.02
    ness
    0.99
    going
    0.79
     examination
    0.79
     examinations
    0.77
    nesses
    0.75
    issance
    0.74
    orough
    0.73
    Activations Density 0.010%

    No Known Activations