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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. 20426
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    Explanations

    locations or landmarks, particularly related to amusement parks and natural parks

    oai_token-act-pair · gpt-3.5-turbo

    references to theme parks, particularly Disneyland

    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
    tops
    -0.76
    yer
    -0.75
    berman
    -0.74
    pos
    -0.73
    inion
    -0.73
    verbs
    -0.73
    riv
    -0.71
    picking
    -0.70
    andro
    -0.70
    ties
    -0.70
    POSITIVE LOGITS
     Resort
    1.04
     Disneyland
    0.97
     Hotel
    0.94
     Shanghai
    0.86
     Plaza
    0.83
     park
    0.76
     Munich
    0.74
     Hots
    0.74
     Lodge
    0.73
     Tours
    0.69
    Activations Density 0.013%

    No Known Activations