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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. 2-RES-JB
    11. 13956
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    Explanations

    phrases related to flavors or taste profiles

    oai_token-act-pair · gpt-3.5-turbo

    references to flavor in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atern
    -0.67
     Rams
    -0.66
     LTD
    -0.65
     erected
    -0.64
    ndum
    -0.64
    upon
    -0.63
    chy
    -0.63
    ahon
    -0.63
    orne
    -0.63
    road
    -0.62
    POSITIVE LOGITS
     flavor
    1.09
     flavored
    0.99
     flavour
    0.96
     Flav
    0.96
     tastes
    0.95
     flavors
    0.93
    ĸļ
    0.89
     buds
    0.87
     flavorful
    0.87
     Flavor
    0.85
    Activations Density 0.017%

    No Known Activations