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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. 7107
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    INDEX
    Explanations

    specific mentions of the word "plane"

    oai_token-act-pair · gpt-3.5-turbo

    references to airplanes or aviation

    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
    PUT
    -0.88
    laus
    -0.85
    UGC
    -0.81
    Tenn
    -0.75
    optional
    -0.72
    OFF
    -0.71
    Measure
    -0.69
     Cumber
    -0.68
    tes
    -0.68
    des
    -0.67
    POSITIVE LOGITS
     plane
    1.39
     planes
    1.27
    plane
    1.19
     Plane
    1.10
     Planes
    1.09
     airplanes
    1.09
     airliner
    1.09
    planes
    1.07
     carrier
    0.98
     airplane
    0.97
    Activations Density 0.010%

    No Known Activations