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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. 23832
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    Explanations

    specific genes related to taste detection, especially for bitter compounds

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    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
     Doctrine
    -0.68
    NAS
    -0.64
     Sad
    -0.64
    roth
    -0.64
     Pict
    -0.63
    LET
    -0.62
     Ruk
    -0.61
     Corps
    -0.60
    riot
    -0.59
    Box
    -0.59
    POSITIVE LOGITS
     specialize
    1.06
     weren
    1.01
     arise
    0.99
     originate
    0.99
     involve
    0.99
     arose
    0.98
     occur
    0.97
     circulate
    0.97
     comprise
    0.95
     defy
    0.95
    Activations Density 0.219%

    No Known Activations