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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    specific references to locations, particularly Washington state

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations, particularly "Washington" and "Lansing."

    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
    psons
    -0.79
    mares
    -0.79
    otypes
    -0.76
     sandwiches
    -0.73
    emetery
    -0.69
    milo
    -0.69
    200000
    -0.67
     wrapper
    -0.67
     srfAttach
    -0.67
     glasses
    -0.64
    POSITIVE LOGITS
     Wash
    0.81
    INGS
    0.79
    minster
    0.78
    robe
    0.77
    iewicz
    0.75
    chens
    0.75
    yer
    0.72
    OA
    0.72
    vy
    0.71
     Spokane
    0.70
    Activations Density 0.031%

    No Known Activations