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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. 3-RES-JB
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    Explanations

    words related to anger or extreme emotions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "mad" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 3 - anger

    No Comments

    Negative Logits
    OPLE
    -0.82
    soDeliveryDate
    -0.80
    ãģ¯
    -0.77
    çĦ
    -0.76
    etitive
    -0.74
    roma
    -0.73
    chnology
    -0.71
    grad
    -0.70
    zzo
    -0.70
    DragonMagazine
    -0.69
    POSITIVE LOGITS
    agascar
    1.08
    rid
    0.88
     mad
    0.85
    der
    0.82
    mad
    0.82
     dash
    0.76
    cap
    0.74
    ness
    0.73
    bol
    0.72
    cow
    0.72
    Activations Density 0.005%

    No Known Activations