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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. 3-RES-JB
    11. 6094
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    */(
    -0.97
    ebin
    -0.81
    emouth
    -0.80
    agan
    -0.76
     disse
    -0.72
    selage
    -0.71
    olen
    -0.71
    eller
    -0.71
    elo
    -0.71
    iments
    -0.70
    POSITIVE LOGITS
    ®
    0.81
    ©
    0.81
    XY
    0.81
    Wide
    0.77
    Ultra
    0.73
    0000000
    0.72
    Deploy
    0.68
    Plus
    0.68
    âĦ¢
    0.68
    FIELD
    0.66
    Activations Density 0.008%

    No Known Activations