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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. 18382
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    INDEX
    Explanations

    mentions of food items or dishes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to carnivals and festive experiences

    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
     transcript
    -0.73
     distance
    -0.69
    ACP
    -0.68
     Angle
    -0.67
     LINE
    -0.66
     Haskell
    -0.64
     Shutterstock
    -0.64
     Distance
    -0.64
    CHAT
    -0.63
    VEL
    -0.62
    POSITIVE LOGITS
    acy
    1.11
    acious
    1.07
    uously
    1.06
    itiveness
    1.03
    uous
    1.01
    ienne
    0.99
    amic
    0.97
    acies
    0.95
    aceae
    0.93
    itized
    0.93
    Activations Density 0.054%

    No Known Activations