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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 3498
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    oai_token-act-pair · gpt-3.5-turbo

    time-related information or timestamps

    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
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    No Comments

    Negative Logits
    ocado
    -0.66
    asons
    -0.66
    FontSize
    -0.65
     justices
    -0.60
    æ©
    -0.60
    obiles
    -0.60
     ado
    -0.59
     scrut
    -0.59
     corrid
    -0.59
    andestine
    -0.58
    POSITIVE LOGITS
     partName
    0.77
     -->
    0.71
     Converted
    0.71
     Fiat
    0.69
     <+
    0.67
     Seraph
    0.65
     Debian
    0.64
     Puppet
    0.64
     Attention
    0.62
     <[
    0.62
    Activations Density 0.083%

    No Known Activations