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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. 8-RES-JB
    11. 178
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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lapse
    -0.85
     condem
    -0.85
     disadvant
    -0.82
     conduc
    -0.78
     limb
    -0.78
     vulner
    -0.76
     mounts
    -0.76
     advancement
    -0.75
     pressures
    -0.74
     assum
    -0.73
    POSITIVE LOGITS
    ï¸ı
    1.18
    Operation
    1.01
    null
    0.86
    HQ
    0.86
    STAR
    0.86
    cffffcc
    0.86
    XX
    0.86
    NN
    0.86
    Balt
    0.86
    Ãī
    0.83
    Activations Density 0.185%

    No Known Activations