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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. 4-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "delivered"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    wikipedia
    -0.92
    pmwiki
    -0.82
    bi
    -0.72
    odan
    -0.68
    Du
    -0.68
    ned
    -0.67
    conn
    -0.65
    ipedia
    -0.65
     Wem
    -0.65
    ois
    -0.65
    POSITIVE LOGITS
     delivered
    1.05
    ragon
    1.02
     delivering
    0.86
     delivery
    0.84
     deliveries
    0.84
     deliver
    0.80
    imentary
    0.80
     delivers
    0.79
     Pengu
    0.79
    loads
    0.79
    Activations Density 0.016%

    No Known Activations