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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. 4-RES-JB
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    Explanations

    Specific words related to a lively and active atmosphere, such as "bustling," "booming," "thriving," and "flourishing."

    oai_token-act-pair · gpt-3.5-turbo

    words related to growth and activity in urban environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issors
    -0.80
    ifi
    -0.78
    abilities
    -0.76
    PLIED
    -0.76
    thood
    -0.73
    raviolet
    -0.72
    agnetic
    -0.72
    verson
    -0.71
    ubi
    -0.70
    urtles
    -0.68
    POSITIVE LOGITS
     bustling
    0.99
     booming
    0.90
     prosperous
    0.80
     town
    0.80
     downtown
    0.79
     entreprene
    0.78
     neighbourhood
    0.74
     storefront
    0.73
     thriving
    0.73
     redevelopment
    0.73
    Activations Density 0.032%

    No Known Activations