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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. 9370
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    INDEX
    Explanations

    mentions of or references to public speakers at events

    oai_token-act-pair · gpt-3.5-turbo

    references to speakers at events or conferences

    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
    YP
    -0.67
     Soldiers
    -0.66
     Pradesh
    -0.65
    hens
    -0.65
    laus
    -0.64
     Moss
    -0.63
     Rossi
    -0.61
     Devils
    -0.59
     annexation
    -0.59
    rises
    -0.59
    POSITIVE LOGITS
     speakers
    1.17
     speaker
    1.14
     voices
    0.86
    phone
    0.85
     louder
    0.83
    voice
    0.80
    mith
    0.76
    loo
    0.76
    ofer
    0.75
     headphones
    0.74
    Activations Density 0.013%

    No Known Activations