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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. 24202
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    Explanations

    word roots related to negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    words related to the prefix 'inf' in various contexts

    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
    manship
    -0.85
    姫
    -0.85
    DragonMagazine
    -0.84
    EStream
    -0.79
    Downloadha
    -0.78
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.76
    uyomi
    -0.74
    \\\\\\\\
    -0.73
     UNIVERS
    -0.73
    soDeliveryDate
    -0.72
    POSITIVE LOGITS
    usions
    1.07
    requent
    1.06
    raction
    1.05
    erno
    1.02
    ractions
    1.01
    requently
    1.00
    acet
    0.99
    acqu
    0.99
    erences
    0.98
    luence
    0.98
    Activations Density 0.008%

    No Known Activations