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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. 1106
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, 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
     behavi
    -0.56
     clutch
    -0.55
     answ
    -0.53
     mosqu
    -0.52
    swick
    -0.51
     glim
    -0.51
     psychologists
    -0.51
     pockets
    -0.51
     genius
    -0.50
     extant
    -0.49
    POSITIVE LOGITS
     29
    1.09
     31
    1.09
     23
    1.05
     27
    1.04
     28
    1.03
     26
    1.03
     22
    1.02
     21
    0.99
     24
    0.95
     19
    0.92
    Activations Density 0.030%

    No Known Activations