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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. 4630
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    Explanations

    titles or labels

    oai_token-act-pair · gpt-3.5-turbo

    terms related to titles and anonymity

    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
    ometers
    -0.71
    Pers
    -0.70
    anda
    -0.69
    Amount
    -0.66
    ATT
    -0.65
    olia
    -0.61
    Craft
    -0.61
    ore
    -0.61
    ores
    -0.61
    kell
    -0.60
    POSITIVE LOGITS
    named
    0.85
    itled
    0.80
    untled
    0.76
    ught
    0.73
    ãĥ¯
    0.71
    terday
    0.71
    lihood
    0.70
    selves
    0.65
     unlucky
    0.65
    lishing
    0.63
    Activations Density 0.031%

    No Known Activations