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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. 8-RES-JB
    11. 4928
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    Explanations

    phrases related to complex or difficult topics and issues

    oai_token-act-pair · gpt-3.5-turbo

    complex and contentious subjects that are difficult to discuss

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ements
    -0.78
    racuse
    -0.76
    asers
    -0.74
    assies
    -0.69
    ħĭ
    -0.67
    ses
    -0.67
    obos
    -0.66
    idges
    -0.66
    weeney
    -0.66
    sburgh
    -0.63
    POSITIVE LOGITS
     unto
    0.94
     indeed
    0.92
     behold
    0.90
     considering
    0.88
     akin
    0.85
     requiring
    0.84
     nonetheless
    0.83
     involving
    0.83
     fraught
    0.82
     nowadays
    0.78
    Activations Density 0.217%

    No Known Activations