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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. 9-RES-JB
    11. 4872
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    Explanations

    phrases indicating a sequence of events or actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "after" indicating temporal sequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ³ãĤ¸
    -0.82
    女
    -0.79
    aez
    -0.77
    ãĤ¹
    -0.75
    oho
    -0.74
    ãĥ¼
    -0.71
    esian
    -0.69
    olds
    -0.68
    orio
    -0.67
     guiActiveUn
    -0.67
    POSITIVE LOGITS
     awhile
    1.05
    noon
    1.03
     completing
    1.03
    wards
    1.01
     sunset
    0.98
    market
    0.97
     completion
    0.95
     finishing
    0.92
     verifying
    0.92
    though
    0.90
    Activations Density 0.105%

    No Known Activations