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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. 6439
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    No Comments

    Negative Logits
    ãĤ©
    -0.77
    ãĤ¤ãĥĪ
    -0.71
    tiny
    -0.71
     Assassins
    -0.70
     UKIP
    -0.70
    rum
    -0.70
     Munich
    -0.69
    ãĤ§
    -0.69
    dden
    -0.67
     Argon
    -0.66
    POSITIVE LOGITS
    lies
    1.00
    etary
    0.85
    eering
    0.84
    uria
    0.82
     warrants
    0.82
     forb
    0.79
     authorizing
    0.78
     warrant
    0.77
     rul
    0.76
     confir
    0.75
    Activations Density 0.022%

    No Known Activations