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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. 2-RES-JB
    11. 5526
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    Explanations

    strong emotions or reactions, particularly negative ones such as anger or displeasure

    oai_token-act-pair · gpt-3.5-turbo

    terms related to anger or animosity, particularly in a context of financial or political matters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 2 - anger

    No Comments

    Negative Logits
     medic
    -0.71
     suicides
    -0.69
    cell
    -0.67
     stret
    -0.67
     diagnoses
    -0.67
     typew
    -0.65
     surgery
    -0.65
     surgeons
    -0.65
     medals
    -0.64
     massacres
    -0.63
    POSITIVE LOGITS
    igious
    0.97
    ï¸ı
    0.88
    chool
    0.88
    uminati
    0.78
     shores
    0.77
    creen
    0.75
    minster
    0.73
    lam
    0.72
    gling
    0.71
    ocratic
    0.70
    Activations Density 0.031%

    No Known Activations