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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. 10741
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    Explanations

    phrases describing positive attributes or qualities

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing the concept of "about" or the quality of something

    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
    à¥
    -0.82
    ¯¯¯¯¯¯¯¯
    -0.78
    Lens
    -0.77
    ------------------------
    -0.76
    gallery
    -0.76
    ocaly
    -0.74
    Writer
    -0.72
     teasp
    -0.71
    Write
    -0.71
    âĸij
    -0.70
    POSITIVE LOGITS
     halfway
    0.74
    lihood
    0.71
     preventing
    0.70
     minimizing
    0.69
     fairness
    0.67
     legality
    0.67
     Nug
    0.65
     respecting
    0.64
     protecting
    0.64
     moderation
    0.62
    Activations Density 0.066%

    No Known Activations