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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. 4-RES-JB
    11. 13055
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of seeking or providing assistance

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

    No Comments

    Negative Logits
    ross
    -0.72
    é¾
    -0.66
    theless
    -0.61
    oul
    -0.59
    ORN
    -0.58
    Rad
    -0.57
    rors
    -0.57
    punk
    -0.56
    bi
    -0.56
    ror
    -0.56
    POSITIVE LOGITS
    fully
    0.89
     Desk
    0.80
     anybody
    0.72
     alleviate
    0.71
    hov
    0.71
    ģĸ
    0.70
    meet
    0.68
    gage
    0.67
     them
    0.67
    Desk
    0.66
    Activations Density 0.038%

    No Known Activations