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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. 7-RES-JB
    11. 4970
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the origin or source of items or information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ¥µ
    -0.93
    iso
    -0.79
    NPR
    -0.68
    ikk
    -0.67
    terness
    -0.65
    ¿
    -0.64
    argo
    -0.62
    lime
    -0.62
    ¶æ
    -0.62
    esh
    -0.62
    POSITIVE LOGITS
     actual
    0.91
     genuine
    0.87
     legitimate
    0.85
     bona
    0.83
     legit
    0.78
     something
    0.76
     purely
    0.74
     real
    0.70
     illegal
    0.70
     extortion
    0.69
    Activations Density 0.605%

    No Known Activations