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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. 9-RES-JB
    11. 3001
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    swick
    -0.72
    ahime
    -0.61
     Takeru
    -0.59
     envy
    -0.56
     Creed
    -0.56
     tc
    -0.56
    ullah
    -0.56
     Bullets
    -0.56
     aback
    -0.55
     wedd
    -0.53
    POSITIVE LOGITS
    bilt
    0.88
     versa
    0.83
    unte
    0.74
    atile
    0.74
    ©¶æ
    0.72
    ¼
    0.70
    ²¾
    0.70
     unfocusedRange
    0.70
    ĸ
    0.69
    ¶æ
    0.69
    Activations Density 0.084%

    No Known Activations