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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. 4-RES-JB
    11. 22442
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ©¶æ
    -0.79
    pload
    -0.69
    jay
    -0.68
    wb
    -0.67
    comm
    -0.62
    govtrack
    -0.62
    heter
    -0.62
    hao
    -0.61
    soDeliveryDate
    -0.60
    rieve
    -0.60
    POSITIVE LOGITS
    ament
    1.15
    arium
    1.12
    aments
    0.99
    edly
    0.86
    ally
    0.84
    arie
    0.84
    endon
    0.80
    als
    0.80
    alist
    0.79
    amental
    0.78
    Activations Density 0.011%

    No Known Activations