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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. 16170
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    Explanations

    quotations in sentences

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, primarily quotations and the ends of sentences

    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
    manship
    -0.84
     Meier
    -0.77
     Ducks
    -0.75
    ensen
    -0.71
    ãĥĭ
    -0.67
     Archangel
    -0.63
    ãĥ¼ãĥĨãĤ£
    -0.63
     Timbers
    -0.62
     Sounders
    -0.62
    inals
    -0.61
    POSITIVE LOGITS
    Interstitial
    1.22
    taboola
    0.98
    MpServer
    0.95
    Cause
    0.85
    Mech
    0.82
    tis
    0.82
    cause
    0.77
     ',
    0.76
    -'
    0.72
     '.
    0.70
    Activations Density 0.081%

    No Known Activations