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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. 22966
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    Explanations

    biochemical terms or related scientific concepts involving nucleotides, DNA, and mutations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to nucleic acids and their components

    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
    nee
    -0.81
     Dragonbound
    -0.74
    ground
    -0.73
    allow
    -0.73
    CHA
    -0.72
    lay
    -0.72
    neau
    -0.72
    olkien
    -0.70
    HI
    -0.70
    LAND
    -0.68
    POSITIVE LOGITS
    ucle
    1.26
    otide
    1.06
     nucle
    0.98
    cules
    0.91
    odes
    0.90
    inators
    0.90
    inate
    0.90
     nucleus
    0.88
    ograms
    0.87
    ographs
    0.86
    Activations Density 0.007%

    No Known Activations