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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. 3594
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to success

    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
    Earth
    -0.67
     throats
    -0.65
    Natural
    -0.63
     pores
    -0.63
     iodine
    -0.62
     antiqu
    -0.62
    RA
    -0.61
    UCT
    -0.60
    agine
    -0.60
     ox
    -0.59
    POSITIVE LOGITS
    ively
    1.04
    fully
    0.96
    ful
    0.84
    ivity
    0.82
    iation
    0.81
    full
    0.79
    ace
    0.77
    iveness
    0.77
    iever
    0.77
    iage
    0.76
    Activations Density 0.025%

    No Known Activations