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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 11226
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    Explanations

    biochemical terms and processes, specifically related to molecular biology and medical research

    oai_token-act-pair · gpt-3.5-turbo

    terms related to biochemical processes and molecular biology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Manor
    -0.79
    arthed
    -0.76
    soDeliveryDate
    -0.75
     Franch
    -0.73
    EVA
    -0.71
    BuyableInstoreAndOnline
    -0.71
     mish
    -0.69
     UFOs
    -0.68
     Arbor
    -0.68
    htaking
    -0.68
    POSITIVE LOGITS
     receptor
    1.36
     receptors
    1.29
     inhibition
    1.26
     inhibitor
    1.25
     mRNA
    1.23
     enzyme
    1.23
     cytok
    1.21
     inhibit
    1.20
     pept
    1.18
     phosph
    1.17
    Activations Density 0.266%

    No Known Activations