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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. 6-RES-JB
    11. 9717
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    Explanations

    phrases related to uncertainty or lack of specific timing information

    oai_token-act-pair · gpt-3.5-turbo

    the word "when" and its variations, indicating uncertainty about timing or scheduling events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zzi
    -0.72
    rolet
    -0.69
    ain
    -0.67
    gur
    -0.67
    agin
    -0.66
    ben
    -0.65
    kaya
    -0.63
    yright
    -0.63
    yan
    -0.63
    yi
    -0.63
    POSITIVE LOGITS
    soever
    1.16
    irlf
    0.79
     faced
    0.78
     confronted
    0.75
     confir
    0.74
    assetsadobe
    0.73
    ce
    0.69
    abouts
    0.67
     asked
    0.63
     they
    0.63
    Activations Density 0.096%

    No Known Activations