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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. 13958
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    Explanations

    specific objects and actions related to missions and tasks

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to missions, vehicles, and various actions or objects associated with them

    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
    unci
    -0.60
    ITNESS
    -0.58
    escription
    -0.56
    oller
    -0.55
     hemor
    -0.55
    ahime
    -0.55
     Loving
    -0.54
    EGIN
    -0.53
    Grab
    -0.53
    Reply
    -0.53
    POSITIVE LOGITS
     reduces
    1.38
     requires
    1.37
     entails
    1.36
     eliminates
    1.34
     hurts
    1.33
     removes
    1.31
     involves
    1.29
     improves
    1.29
     ensures
    1.27
     lowers
    1.26
    Activations Density 0.343%

    No Known Activations