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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. 8-RES-JB
    11. 10346
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    Explanations

    measurements expressed as numbers and units

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to measurements and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     PTS
    -0.62
     advis
    -0.59
     handshake
    -0.55
     stride
    -0.54
    NetMessage
    -0.53
    lists
    -0.53
     <-
    -0.52
     feral
    -0.52
     FW
    -0.52
    -(
    -0.52
    POSITIVE LOGITS
    50
    0.86
    53
    0.81
    0
    0.79
    5
    0.79
    45
    0.78
    58
    0.77
    00
    0.77
    75
    0.77
    67
    0.77
    37
    0.77
    Activations Density 0.124%

    No Known Activations