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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. 20906
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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
    etheless
    -0.72
    fr
    -0.67
     tert
    -0.66
    ecd
    -0.65
    Ķ
    -0.65
    zon
    -0.63
    igun
    -0.62
    efe
    -0.62
    ongevity
    -0.61
    venth
    -0.61
    POSITIVE LOGITS
     please
    1.02
    please
    0.88
     visit
    0.85
     click
    0.82
     CLICK
    0.81
     multiply
    0.68
     including
    0.67
     Dana
    0.62
     Click
    0.61
     PLEASE
    0.61
    Activations Density 0.121%

    No Known Activations