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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. 9-RES-JB
    11. 10269
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    Explanations

    words related to standardizing or normalizing processes or entities

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of modification or transformation

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    thur
    -0.77
    agher
    -0.71
    REL
    -0.71
    backs
    -0.70
    adem
    -0.69
    worldly
    -0.68
    iddles
    -0.67
    stead
    -0.67
    loo
    -0.67
    adra
    -0.65
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢ
    0.74
    SHIP
    0.67
     tendencies
    0.66
    ATION
    0.64
    ATIONS
    0.64
    aign
    0.63
     ACTIONS
    0.63
    ALLY
    0.62
    uration
    0.59
     utilization
    0.59
    Activations Density 0.158%

    No Known Activations