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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. 1-RES-JB
    11. 8889
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    Explanations

    words related to navigation and transportation

    oai_token-act-pair · gpt-3.5-turbo

    references to navigation tools and vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ABE
    -0.83
    Dur
    -0.83
     Parenthood
    -0.82
    orig
    -0.76
    ±
    -0.75
    Tonight
    -0.74
    uay
    -0.73
     ±
    -0.73
    çĶ°
    -0.73
     births
    -0.73
    POSITIVE LOGITS
     compass
    1.18
    illary
    0.81
     paddle
    0.79
     autop
    0.79
    ilot
    0.75
     rigged
    0.73
     outline
    0.73
     dashboard
    0.73
     NAV
    0.72
     pedest
    0.72
    Activations Density 0.014%

    No Known Activations