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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. 9-RES-JB
    11. 5392
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    Explanations

    phrases related to coding or programming errors

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to emotional experiences and interpersonal connections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     JUSTICE
    -0.54
    ¶
    -0.47
     Tradable
    -0.46
     nonetheless
    -0.44
    "]=>
    -0.44
     Females
    -0.43
     sqor
    -0.43
     intrigue
    -0.43
     Plaintiff
    -0.43
     Kaepernick
    -0.43
    POSITIVE LOGITS
    ãĤĭ
    0.53
    Ü
    0.52
    à¦
    0.51
     teasp
    0.51
    ¶æ
    0.50
    ãģ¦
    0.50
    rored
    0.50
    ãĥīãĥ©
    0.50
    ãĥ£
    0.49
    ©
    0.49
    Activations Density 1.466%

    No Known Activations