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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. 24523
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    Explanations

    phrases related to technical instructions or procedures

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to user instructions or commands

    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
    nces
    -0.75
     twists
    -0.69
     lull
    -0.67
     bucks
    -0.65
    wives
    -0.65
     Laugh
    -0.63
     lame
    -0.62
     Alas
    -0.62
     heartbreaking
    -0.62
    antine
    -0.62
    POSITIVE LOGITS
     desired
    0.88
     specified
    0.87
     selected
    0.86
    omever
    0.82
    ocument
    0.82
    éĹĺ
    0.76
     intend
    0.76
    igible
    0.75
     currently
    0.75
     specify
    0.74
    Activations Density 0.248%

    No Known Activations