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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. 22716
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    Explanations

    numerical values, dates, and times

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics

    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
     toget
    -0.74
     antit
    -0.72
     traveler
    -0.71
     pse
    -0.71
     rall
    -0.68
     behavi
    -0.66
     nodd
    -0.65
     agre
    -0.65
     lifes
    -0.64
     contribut
    -0.63
    POSITIVE LOGITS
    enko
    0.82
    9
    0.82
    55
    0.81
    5
    0.80
    66666666
    0.80
    0
    0.80
    ighth
    0.78
    igree
    0.78
    65
    0.75
    00
    0.74
    Activations Density 0.203%

    No Known Activations