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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 2665
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    Explanations

    mentions of lanes, roads, and highways

    oai_token-act-pair · gpt-3.5-turbo

    references to lanes in a traffic context

    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
     Seym
    -0.81
    anamo
    -0.77
    OLOG
    -0.71
     Degree
    -0.67
    etheus
    -0.66
    ISE
    -0.66
    tics
    -0.66
    PLIC
    -0.66
    pson
    -0.65
    Birth
    -0.63
    POSITIVE LOGITS
    lane
    1.17
     lane
    1.09
     lanes
    0.99
    wagon
    0.86
     congestion
    0.84
     divid
    0.79
     closures
    0.78
    wash
    0.76
     precincts
    0.74
    ners
    0.73
    Activations Density 0.010%

    No Known Activations