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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. 13077
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    Explanations

    words related to actions and achievements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to social participation and responsibilities

    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
    laughs
    -0.73
     Kills
    -0.65
     WAS
    -0.60
    HAHA
    -0.55
    ËĪ
    -0.52
    Returns
    -0.52
     Was
    -0.52
     Flavoring
    -0.51
    Ö¼
    -0.50
    allo
    -0.50
    POSITIVE LOGITS
     are
    1.93
     aren
    1.78
     were
    1.64
     weren
    1.58
     have
    1.43
     include
    1.38
     seem
    1.32
    were
    1.31
    're
    1.28
     deserve
    1.26
    Activations Density 1.114%

    No Known Activations