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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. 3562
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    elements related to technology and applications

    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
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    Negative Logits
    kinson
    -0.73
    owe
    -0.64
    ©¶æ¥µ
    -0.63
     rotten
    -0.58
    76561
    -0.58
    abase
    -0.58
    ãĤ¢ãĥ«
    -0.57
    é¾
    -0.57
     Kimmel
    -0.54
    PDATE
    -0.53
    POSITIVE LOGITS
    apters
    0.57
    rollers
    0.56
    izont
    0.56
     motions
    0.55
    isively
    0.54
    anship
    0.53
     Telescope
    0.51
     withdrawals
    0.50
     controllers
    0.49
     continuum
    0.49
    Activations Density 1.157%

    No Known Activations