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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. 23387
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    INDEX
    Explanations

    phrases containing quotes and dialogue

    oai_token-act-pair · gpt-3.5-turbo

    repeated punctuation marks, particularly quotation marks

    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
    ãĤº
    -0.65
    ãĥij
    -0.62
    etheless
    -0.61
    Contents
    -0.60
    ãĤ¦ãĤ¹
    -0.60
    ĻĤ
    -0.58
    agin
    -0.58
    zbollah
    -0.57
    ãĥĻ
    -0.57
    ģĸ
    -0.57
    POSITIVE LOGITS
     he
    1.43
     she
    1.18
     said
    1.17
    said
    1.02
     added
    1.00
     explained
    0.92
     him
    0.90
     according
    0.88
     says
    0.85
    she
    0.83
    Activations Density 0.197%

    No Known Activations