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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. 12-RES-JB
    11. 2515
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    INDEX
    Explanations

    mentions of specific brand names and locations

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to specific brands, models, or names associated with vehicles and their features

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    cess
    -0.70
    orative
    -0.66
    oin
    -0.65
    acular
    -0.64
    once
    -0.60
    âĶĢâĶĢ
    -0.60
    ongyang
    -0.59
    tan
    -0.59
    ition
    -0.58
    llular
    -0.57
    POSITIVE LOGITS
    ospital
    0.81
    ancock
    0.79
     Abedin
    0.72
    abal
    0.68
    idays
    0.67
    abee
    0.67
    riks
    0.67
    azard
    0.66
    aida
    0.66
     Civic
    0.65
    Activations Density 0.227%

    No Known Activations