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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. 313
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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 @ 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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    No Comments

    Negative Logits
    DX
    -0.83
    Unity
    -0.74
    meric
    -0.73
    eous
    -0.69
    NVIDIA
    -0.69
    DragonMagazine
    -0.68
    rio
    -0.67
    isible
    -0.67
    rain
    -0.67
     Powered
    -0.66
    POSITIVE LOGITS
     consequently
    1.21
     hence
    1.11
     therefore
    1.09
     thus
    1.07
     possibly
    1.06
     thereby
    1.04
     subsequently
    1.01
     secondly
    0.96
     then
    0.94
     urged
    0.89
    Activations Density 0.503%

    No Known Activations