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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 14
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    INDEX
    Explanations

    instances where the word "scream" or its variations are mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "scream" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    the word "scream" and its variations

    oai_token-act-pair · gpt-4-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
    omaly
    -0.82
    Arthur
    -0.80
    rost
    -0.76
    folios
    -0.75
    ilege
    -0.74
    ĻĤ
    -0.70
    quickShipAvailable
    -0.64
    bard
    -0.64
    adequ
    -0.63
     Cheong
    -0.62
    POSITIVE LOGITS
     scream
    0.97
     screamed
    0.97
     screams
    0.90
     louder
    0.89
     aloud
    0.87
     Scream
    0.82
     screaming
    0.82
    Cry
    0.78
     Fury
    0.76
     loudly
    0.74
    Activations Density 0.018%

    No Known Activations