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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. 3-RES-JB
    11. 5491
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    INDEX
    Explanations

    phrases prompting the reader to check something out or explore further

    oai_token-act-pair · gpt-3.5-turbo

    references to "Check" and related promotional phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LOD
    -0.83
    Church
    -0.71
    cffffcc
    -0.71
    Animal
    -0.70
    76561
    -0.69
    thood
    -0.69
    NetMessage
    -0.68
    Anth
    -0.68
    LAB
    -0.67
    minist
    -0.67
    POSITIVE LOGITS
    etts
    1.19
    ers
    1.09
    enhagen
    0.94
    er
    0.90
    hee
    0.89
    ering
    0.88
    chens
    0.85
     Check
    0.85
    lists
    0.80
    ups
    0.79
    Activations Density 0.019%

    No Known Activations