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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23894
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    INDEX
    Explanations

    commas followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    instances of commas in sentences

    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
    ORPG
    -0.74
    uces
    -0.74
    ãĤ´ãĥ³
    -0.66
     Defeat
    -0.62
    è¦ļéĨĴ
    -0.61
    swick
    -0.60
    rices
    -0.60
     Balanced
    -0.59
    olves
    -0.59
     corrid
    -0.58
    POSITIVE LOGITS
     alas
    1.02
     unsurprisingly
    0.96
     albeit
    0.92
     uh
    0.88
     moreover
    0.83
     um
    0.82
     however
    0.80
     therefore
    0.80
     admittedly
    0.80
     unfortunately
    0.78
    Activations Density 0.094%

    No Known Activations