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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. 11-RES-JB
    11. 22227
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    Explanations

    phrases indicating a strong emphasis or importance

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing caution or highlighting specific issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orc
    -0.71
    ãĥ¼ãĥĨãĤ£
    -0.62
    uble
    -0.59
     crore
    -0.58
    ilib
    -0.58
    bridge
    -0.58
    itte
    -0.57
    doctor
    -0.56
    olver
    -0.55
    hent
    -0.54
    POSITIVE LOGITS
     considering
    1.26
     since
    1.22
     when
    1.08
     given
    1.07
     if
    1.05
     compared
    1.01
     after
    0.96
     during
    0.91
     insofar
    0.89
    given
    0.88
    Activations Density 0.063%

    No Known Activations