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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. 7-RES-JB
    11. 7340
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to being below or under something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.88
    DN
    -0.78
    CHO
    -0.77
    ãĥ¼ãĥĨ
    -0.75
    yah
    -0.74
    itar
    -0.73
    MM
    -0.72
    enberg
    -0.69
    zai
    -0.69
    quist
    -0.68
    POSITIVE LOGITS
     layers
    0.90
    neath
    0.90
    sea
    0.88
    coat
    0.82
     lip
    0.78
    ground
    0.76
     cliffs
    0.75
    eatures
    0.74
     layer
    0.71
    ĸļ
    0.69
    Activations Density 0.048%

    No Known Activations