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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
    11. 23401
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    Explanations

    words related to strong emotional expressions of negativity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "utter" and its variations, indicating expressions of extreme emphasis or disapproval

    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
    Not in Any Lists

    No Comments

    Negative Logits
    llah
    -0.80
    amsung
    -0.79
    pei
    -0.78
    OHN
    -0.74
    anwhile
    -0.68
    xual
    -0.67
    actionDate
    -0.66
    ioch
    -0.66
    oult
    -0.66
     Collider
    -0.65
    POSITIVE LOGITS
    ances
    1.01
    ance
    0.98
     utter
    0.94
    ing
    0.79
    most
    0.78
     amaz
    0.78
    ingly
    0.77
    TY
    0.76
     strangers
    0.73
    ancing
    0.71
    Activations Density 0.012%

    No Known Activations