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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. 14716
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    quantities and measurements related to ingredients

    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
    liga
    -0.71
    anta
    -0.69
    oti
    -0.68
    LIN
    -0.68
    itably
    -0.63
    ouver
    -0.61
    glers
    -0.60
    orously
    -0.59
     purportedly
    -0.58
     abiding
    -0.57
    POSITIVE LOGITS
     teaspoon
    0.77
    ths
    0.70
     tsp
    0.68
     Mask
    0.66
     istg
    0.65
     skirt
    0.64
     mum
    0.63
    mber
    0.62
     cup
    0.59
    hops
    0.58
    Activations Density 0.047%

    No Known Activations