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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. 1-RES-JB
    11. 23252
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    INDEX
    Explanations

    keywords related to speakers or individuals giving speeches

    oai_token-act-pair · gpt-3.5-turbo

    the mention of speakers at an event or conference

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ENA
    -0.77
    ISS
    -0.70
     MOD
    -0.68
    ERAL
    -0.66
    DIV
    -0.66
    ospital
    -0.63
    iss
    -0.63
    ICH
    -0.63
    EW
    -0.63
    Phys
    -0.63
    POSITIVE LOGITS
     speakers
    1.59
     speaker
    1.10
    paces
    1.04
    hip
    0.99
    mith
    0.97
     voices
    0.95
     headphones
    0.92
    anooga
    0.89
    ongs
    0.89
    pots
    0.89
    Activations Density 0.005%

    No Known Activations