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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. 11-RES-JB
    11. 11728
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    Explanations

    phrases related to tasks or processes involving a series of steps or actions

    oai_token-act-pair · gpt-3.5-turbo

    processes that involve actions or methods of creation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    olitics
    -0.81
    arta
    -0.80
    AIDS
    -0.76
    idate
    -0.76
    orthy
    -0.74
    isSpecialOrderable
    -0.73
    ylum
    -0.72
    hillary
    -0.72
    ocene
    -0.71
    eur
    -0.71
    POSITIVE LOGITS
     inserting
    1.53
     combining
    1.52
     adding
    1.45
     placing
    1.44
     injecting
    1.44
     swapping
    1.41
     attaching
    1.41
     applying
    1.41
     modifying
    1.40
     removing
    1.40
    Activations Density 0.231%

    No Known Activations