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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. 20349
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    Explanations

    references to legal cases involving organizations and their positions on specific issues

    oai_token-act-pair · gpt-3.5-turbo

    the end of a text or section

    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
    acular
    -0.75
    orative
    -0.74
     rall
    -0.68
    igm
    -0.68
    eele
    -0.67
    uously
    -0.64
    atum
    -0.63
    oin
    -0.63
    ICE
    -0.63
    uary
    -0.62
    POSITIVE LOGITS
    idays
    0.88
    mong
    0.87
    ancock
    0.81
    sworth
    0.79
    IGH
    0.77
    iday
    0.77
    masters
    0.76
    azard
    0.73
    ttle
    0.73
    ford
    0.72
    Activations Density 0.145%

    No Known Activations