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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. 18186
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    Explanations

    references to specific types of vehicles, particularly SUVs and sedans

    oai_token-act-pair · gpt-3.5-turbo

    mentions of SUVs and sedans

    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
    ode
    -0.76
    bread
    -0.75
    ãĤ±
    -0.70
    otten
    -0.68
    etime
    -0.68
    inen
    -0.67
    tale
    -0.67
    ttp
    -0.67
    graph
    -0.65
     quarters
    -0.65
    POSITIVE LOGITS
     SUV
    0.95
     sedan
    0.85
     dealership
    0.79
    illac
    0.77
     vans
    0.75
    iage
    0.70
     caravan
    0.70
    BOX
    0.67
    otive
    0.67
    inyl
    0.66
    Activations Density 0.010%

    No Known Activations