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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. 3-RES-JB
    11. 354
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    INDEX
    Explanations

    phrases related to tasting and flavors

    oai_token-act-pair · gpt-3.5-turbo

    references to tasting experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hood
    -0.79
    pton
    -0.79
    rises
    -0.78
    duct
    -0.72
    orrow
    -0.67
    rising
    -0.66
    xus
    -0.64
    icz
    -0.63
    bound
    -0.63
    shaw
    -0.61
    POSITIVE LOGITS
     tasting
    1.16
     tast
    0.88
    wcsstore
    0.88
    ivities
    0.81
    rarily
    0.80
     smelling
    0.78
    ãĥ¼ãĥĨãĤ£
    0.77
    Reviewed
    0.77
    orie
    0.74
    Ĥ¬
    0.72
    Activations Density 0.017%

    No Known Activations