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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. 6-RES-JB
    11. 9507
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to freedom and availability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Ancients
    -0.75
    senal
    -0.75
    older
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    ochond
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     specificity
    -0.71
     Stories
    -0.69
     CPC
    -0.68
    arya
    -0.68
    ackle
    -0.68
    wig
    -0.67
    POSITIVE LOGITS
     freely
    0.89
     unrestricted
    0.88
     flowing
    0.81
     distribut
    0.80
     roam
    0.77
     distribute
    0.75
    theless
    0.75
     distributing
    0.71
    hibited
    0.70
     distributed
    0.70
    Activations Density 0.017%

    No Known Activations