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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. 9-RES-JB
    11. 16494
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    INDEX
    Explanations

    phrases indicating desires or intentions

    oai_token-act-pair · gpt-3.5-turbo

    desires and intentions related to personal identity and social involvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soever
    -0.80
    rir
    -0.75
     Cosponsors
    -0.69
    render
    -0.69
    ielding
    -0.68
    ously
    -0.65
    plus
    -0.62
     declining
    -0.62
    pite
    -0.61
     yielding
    -0.60
    POSITIVE LOGITS
     someday
    0.82
     reven
    0.69
     faire
    0.66
     daddy
    0.65
    ãĤ¦
    0.64
     repaid
    0.64
    ãĥķãĤ©
    0.63
     emulate
    0.63
     revenge
    0.63
    irie
    0.62
    Activations Density 0.241%

    No Known Activations