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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. 7-RES-JB
    11. 3607
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Phant
    -0.73
     Leap
    -0.70
    shire
    -0.69
    umar
    -0.67
     Forbidden
    -0.65
     Lever
    -0.64
     SERV
    -0.64
    INO
    -0.64
    iggs
    -0.63
    Leader
    -0.63
    POSITIVE LOGITS
    ned
    1.41
    ning
    1.14
    beard
    1.04
    burn
    1.03
    skinned
    1.01
    ny
    0.92
     graft
    0.91
    walker
    0.88
    worm
    0.84
    powder
    0.84
    Activations Density 0.018%

    No Known Activations