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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. 10-RES-JB
    11. 5449
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    Explanations

    phrases indicating inclusion or approval

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "included" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mood
    -0.62
    wolves
    -0.62
     manners
    -0.61
    robe
    -0.60
     Nightmares
    -0.59
     endurance
    -0.58
    tails
    -0.57
    ggles
    -0.56
    ingham
    -0.54
    quit
    -0.54
    POSITIVE LOGITS
     herein
    1.08
     prominently
    1.03
     therein
    1.02
    ãģĨ
    0.80
     alongside
    0.78
     within
    0.75
     in
    0.74
    clus
    0.73
    clusion
    0.73
     into
    0.73
    Activations Density 0.051%

    No Known Activations