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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. 12-RES-JB
    11. 2971
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    INDEX
    Explanations

    cooking instructions and recipe steps

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    cooking instructions and time durations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    女
    -0.69
    arenthood
    -0.68
    acebook
    -0.67
    ãĥ³ãĤ¸
    -0.66
    folios
    -0.66
    ortunately
    -0.65
    =-=-=-=-
    -0.65
    halla
    -0.64
    é¾
    -0.63
    ptions
    -0.62
    POSITIVE LOGITS
     5
    0.93
     approx
    0.91
     2
    0.87
     15
    0.87
     1
    0.87
     4
    0.86
     30
    0.85
     10
    0.85
     3
    0.85
     about
    0.85
    Activations Density 0.076%

    No Known Activations