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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. 3-RES-JB
    11. 70
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    Explanations

    numeric figures related to time periods

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number 72

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yang
    -0.84
    ezvous
    -0.72
    furt
    -0.72
     Django
    -0.71
    BOOK
    -0.70
    feature
    -0.69
    gets
    -0.68
    yi
    -0.66
    eering
    -0.66
    lace
    -0.66
    POSITIVE LOGITS
     ILCS
    1.07
    icum
    0.89
    00000
    0.88
    80
    0.86
    00
    0.85
    ipop
    0.83
    807
    0.83
    icably
    0.78
    75
    0.78
    319
    0.77
    Activations Density 0.035%

    No Known Activations