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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. 20578
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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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ£
    -0.97
    hibited
    -0.76
    road
    -0.73
    zona
    -0.71
    rals
    -0.69
    EStreamFrame
    -0.69
    goers
    -0.68
    ItemImage
    -0.68
    asta
    -0.67
    ĪĴ
    -0.67
    POSITIVE LOGITS
    ronic
    0.81
    idy
    0.79
    iang
    0.77
    iquette
    0.77
    ½
    0.77
    ronics
    0.76
    е
    0.74
    а
    0.74
    ï¸ı
    0.71
    endon
    0.71
    Activations Density 0.022%

    No Known Activations