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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. 23677
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    Explanations

    proper nouns or named entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating sequence or order

    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
    imates
    -0.80
    Ĥª
    -0.79
    姫
    -0.70
    xual
    -0.69
    oys
    -0.67
    imate
    -0.67
    embed
    -0.66
    imation
    -0.65
    ktop
    -0.65
    icken
    -0.65
    POSITIVE LOGITS
     secondly
    1.87
     second
    1.69
    Secondly
    1.55
     Secondly
    1.50
     Second
    1.46
    second
    1.44
    Second
    1.41
     third
    1.31
     fourth
    1.28
    first
    1.25
    Activations Density 0.382%

    No Known Activations