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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 13369
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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 @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Lumpur
    -0.82
    ãĥĥãĥĪ
    -0.72
    zac
    -0.72
     Magnum
    -0.69
    ocular
    -0.67
    osite
    -0.66
    odore
    -0.66
    ebin
    -0.65
     Tsarnaev
    -0.63
     Chest
    -0.62
    POSITIVE LOGITS
     Renew
    0.94
    ables
    0.92
    issance
    0.90
    orship
    0.82
     fuels
    0.82
    uces
    0.73
    atile
    0.73
     renewable
    0.72
    etic
    0.72
    ifer
    0.71
    Activations Density 0.018%

    No Known Activations