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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. 2-RES-JB
    11. 757
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    oai_token-act-pair · gpt-4-turbo

    comma punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¬¼
    -0.59
    iple
    -0.56
    natureconservancy
    -0.53
    ety
    -0.53
     corrid
    -0.45
     murd
    -0.44
    odes
    -0.44
    izon
    -0.44
    ocry
    -0.43
    terness
    -0.43
    POSITIVE LOGITS
     albeit
    0.89
     namely
    0.83
     although
    0.81
     etc
    0.80
     however
    0.76
     respectively
    0.74
     though
    0.71
     whereas
    0.68
     aka
    0.66
     huh
    0.66
    Activations Density 1.425%

    No Known Activations