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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. 18706
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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
    Winged
    -0.75
     bluff
    -0.69
    Bir
    -0.67
    Runner
    -0.65
    Spoiler
    -0.64
     Swordsman
    -0.64
     bearer
    -0.63
    PLA
    -0.62
    ADRA
    -0.61
    âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦
    -0.60
    POSITIVE LOGITS
    rencies
    0.85
    schild
    0.80
    ancial
    0.79
    incial
    0.78
    ÑĮ
    0.77
    merce
    0.77
    oulos
    0.76
    én
    0.75
    ifix
    0.74
     sidx
    0.73
    Activations Density 0.190%

    No Known Activations