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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. 19913
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    Explanations

    time-related events, such as when an article was published or reported

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the publication or posting of articles and reports

    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
    like
    -0.72
     constantly
    -0.71
     nonetheless
    -0.70
    lov
    -0.69
    lys
    -0.68
     nevertheless
    -0.68
    interrupted
    -0.67
     vit
    -0.67
    contin
    -0.64
    selection
    -0.63
    POSITIVE LOGITS
    ODY
    0.83
    åħī
    0.76
     newsp
    0.71
     Femin
    0.71
    ORN
    0.69
    imester
    0.66
    Initialized
    0.66
    GBT
    0.64
    Introduced
    0.64
    20439
    0.63
    Activations Density 0.099%

    No Known Activations