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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. 9-RES-JB
    11. 1646
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to consulting and consultative services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bers
    -0.70
    ¥µ
    -0.70
    nings
    -0.69
    icz
    -0.67
    stop
    -0.66
    BER
    -0.65
    boats
    -0.64
    buck
    -0.64
     Huck
    -0.64
    trap
    -0.64
    POSITIVE LOGITS
    ancies
    0.87
    onymous
    0.79
     consulted
    0.79
    iazep
    0.73
    ative
    0.73
     consult
    0.73
     advise
    0.73
    arial
    0.73
     Ples
    0.72
    enza
    0.70
    Activations Density 0.066%

    No Known Activations