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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. 6093
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    Explanations

    locations or objects related to a physical space

    oai_token-act-pair · gpt-3.5-turbo

    locations and references to physical spaces or items

    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
    pport
    -0.62
    ADRA
    -0.61
     unilateral
    -0.60
     simultaneous
    -0.57
     warr
    -0.57
     advis
    -0.56
     ABE
    -0.55
     distingu
    -0.55
     timely
    -0.54
     proactive
    -0.54
    POSITIVE LOGITS
    icle
    0.81
    piece
    0.77
    pole
    0.74
    tops
    0.74
    icles
    0.72
    hole
    0.69
    cloth
    0.69
    pipe
    0.68
    plate
    0.67
    away
    0.67
    Activations Density 0.503%

    No Known Activations