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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. 6-RES-JB
    11. 19682
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    Explanations

    dates or time-related information, like months and years

    oai_token-act-pair · gpt-3.5-turbo

    negative scores or results associated with sports events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Yelp
    -0.91
     Boone
    -0.89
     Lovecraft
    -0.89
     Whitman
    -0.86
     Indiana
    -0.84
     Burr
    -0.84
     Idaho
    -0.83
     Dickinson
    -0.83
     Madison
    -0.83
     ACLU
    -0.83
    POSITIVE LOGITS
    organ
    0.97
    placed
    0.97
    colour
    0.95
     organise
    0.91
    backed
    0.91
    shaped
    0.90
    Af
    0.90
    Pakistan
    0.90
     petrol
    0.89
    kil
    0.88
    Activations Density 0.198%

    No Known Activations