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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. 4-RES-JB
    11. 1474
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    Explanations

    phrases indicating strong emotions or exclamations

    oai_token-act-pair · gpt-3.5-turbo

    instances of empty or absent content in the text

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

    No Comments

    Negative Logits
    raints
    -0.71
     hemor
    -0.65
     condem
    -0.64
     apes
    -0.62
     metic
    -0.61
     Instr
    -0.60
     deed
    -0.60
     imitation
    -0.59
     Seym
    -0.58
     unborn
    -0.56
    POSITIVE LOGITS
    ï¸ı
    1.13
    âĶĢâĶĢ
    1.06
    âĢł
    0.84
    °
    0.78
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.77
    âĸł
    0.77
    fter
    0.76
    0.75
    conom
    0.74
    ishable
    0.74
    Activations Density 0.216%

    No Known Activations