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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. 21325
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    Explanations

    symbols (Ċ, ľ) within the text

    oai_token-act-pair · gpt-3.5-turbo

    instances of strong emotional reactions or threats in communication

    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
     occas
    -0.71
     helicop
    -0.66
     utilized
    -0.65
     citiz
    -0.63
     Fang
    -0.60
     wiser
    -0.60
     tremend
    -0.59
     favoring
    -0.58
     Nicaragua
    -0.58
     furnished
    -0.58
    POSITIVE LOGITS
    Labour
    0.83
    ³³³³
    0.74
    Shadow
    0.74
    Coun
    0.73
    ³³³³³³³³³³³³³³³³
    0.73
    Bus
    0.73
    Royal
    0.72
    Scroll
    0.72
    Jere
    0.72
    Yesterday
    0.70
    Activations Density 0.227%

    No Known Activations