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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. 6-RES-JB
    11. 15507
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    Explanations

    phrases within quotation marks expressing emotions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    quoted speech or phrases attributed to individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ļ½
    -0.75
    stant
    -0.73
    ¾
    -0.67
    itan
    -0.65
    İĭ
    -0.63
    orah
    -0.63
    odi
    -0.63
    ãĤ¨ãĥ«
    -0.63
    atal
    -0.62
    tein
    -0.62
    POSITIVE LOGITS
    /"
    1.12
    >>\
    0.68
     AAP
    0.66
     remark
    0.62
    sic
    0.61
     ["
    0.60
    SPONSORED
    0.59
     Alz
    0.59
    OTUS
    0.58
    Minecraft
    0.58
    Activations Density 0.080%

    No Known Activations