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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. 4-RES-JB
    11. 2508
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    Explanations

    phrases enclosed in quotation marks that express a strong opinion or statement

    oai_token-act-pair · gpt-3.5-turbo

    quoted speech or dialogue

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

    No Comments

    Negative Logits
    ĻĤ
    -0.92
    Ļ½
    -0.85
    İĭ
    -0.81
    ¸
    -0.79
    ²¾
    -0.77
    ¾
    -0.75
    ments
    -0.70
    paren
    -0.69
    ©¶æ¥µ
    -0.64
    acements
    -0.64
    POSITIVE LOGITS
    /"
    1.00
     ["
    0.77
    OTUS
    0.74
     âĢķ
    0.74
    SPONSORED
    0.71
    >>\
    0.68
    APD
    0.68
    sic
    0.67
    Adds
    0.65
     />
    0.63
    Activations Density 0.085%

    No Known Activations