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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. 13832
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    Explanations

    words related to senses like taste and physical sensations

    oai_token-act-pair · gpt-3.5-turbo

    words related to taste and sensory experiences

    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
    Not in Any Lists

    No Comments

    Negative Logits
    wired
    -0.71
    ogue
    -0.67
    ucle
    -0.64
    istor
    -0.61
    uclear
    -0.60
    WER
    -0.59
    ocally
    -0.59
    ising
    -0.58
     ignorance
    -0.58
    ãĥ«
    -0.58
    POSITIVE LOGITS
    hetics
    0.87
    ript
    0.87
    lest
    0.87
    lers
    0.85
    ean
    0.80
    roxy
    0.80
    olicy
    0.79
    otle
    0.78
    nces
    0.77
    akespeare
    0.75
    Activations Density 0.095%

    No Known Activations