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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. 1-RES-JB
    11. 940
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    Explanations

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    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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     compr
    -0.81
     shaped
    -0.77
    uyomi
    -0.77
    adra
    -0.77
    jected
    -0.74
    etr
    -0.70
     disse
    -0.70
    itiz
    -0.69
     compan
    -0.68
    WithNo
    -0.67
    POSITIVE LOGITS
    %-
    1.10
    -+
    0.95
    %
    0.86
    âĨij
    0.83
    RH
    0.83
    FREE
    0.77
    %)
    0.76
    VO
    0.73
    %%
    0.73
    oyer
    0.72
    Activations Density 0.033%

    No Known Activations