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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. 0-RES-JB
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    Explanations

    references to the word "camel."

    oai_token-act-pair · gpt-3.5-turbo

    references to camels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hack
    -0.88
     Miko
    -0.74
     Brut
    -0.72
     Ren
    -0.70
     ICE
    -0.70
     Yan
    -0.70
    Yan
    -0.69
     Nan
    -0.69
     Mei
    -0.69
    hern
    -0.68
    POSITIVE LOGITS
     Camel
    2.45
     camel
    2.04
    amel
    1.67
     Patel
    1.39
     Jordanian
    1.28
     Kab
    1.19
     Bagg
    1.18
     cigar
    1.13
     cinnamon
    1.09
    opard
    1.08
    Activations Density 0.076%

    No Known Activations