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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. 14938
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to covering up or concealing information

    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
     recomm
    -0.74
    rious
    -0.70
    efficients
    -0.66
    friend
    -0.66
    nir
    -0.65
    memory
    -0.62
     rever
    -0.61
     onwards
    -0.61
     fortune
    -0.61
    prising
    -0.60
    POSITIVE LOGITS
     bases
    0.97
    topic
    0.81
    ategories
    0.77
    phia
    0.74
    idential
    0.73
     entirety
    0.72
     Mellon
    0.70
    eatures
    0.69
     gaps
    0.67
    âĸ¬
    0.65
    Activations Density 0.131%

    No Known Activations