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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. 16581
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    Explanations

    words related to processes being done quickly or efficiently

    oai_token-act-pair · gpt-3.5-turbo

    words related to urgency and efficiency

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Dome
    -0.59
    VP
    -0.58
     knee
    -0.58
    leaf
    -0.58
     foot
    -0.58
     Engel
    -0.58
     Breaker
    -0.57
     Noir
    -0.57
     Strauss
    -0.57
     Blow
    -0.56
    POSITIVE LOGITS
    itious
    1.77
    itions
    1.76
    ition
    1.64
    itional
    1.42
    iency
    1.38
    ited
    1.38
    itive
    1.35
    iting
    1.29
    itives
    1.24
    itionally
    1.23
    Activations Density 0.062%

    No Known Activations