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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. 10-RES-JB
    11. 10385
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    Explanations

    time references related to specific events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    sentence-ending punctuation marks, specifically periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     majorities
    -0.59
     resemb
    -0.55
     liner
    -0.53
     nomine
    -0.52
     challeng
    -0.52
     pse
    -0.51
     Yor
    -0.51
     acknowled
    -0.50
     spr
    -0.50
     warr
    -0.49
    POSITIVE LOGITS
    m
    1.10
    pm
    0.91
    mx
    0.81
    px
    0.80
    ms
    0.79
    fm
    0.77
    bm
    0.75
    meter
    0.75
    mn
    0.73
    p
    0.72
    Activations Density 0.018%

    No Known Activations