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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. 4-RES-JB
    11. 18602
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    Explanations

    instances of the word "tire"

    oai_token-act-pair · gpt-3.5-turbo

    references to tires

    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
    adesh
    -0.84
    committee
    -0.80
    inel
    -0.77
    arios
    -0.75
    ĺħ
    -0.74
    rooms
    -0.74
    orld
    -0.72
    pta
    -0.72
    ulhu
    -0.71
    AMY
    -0.68
    POSITIVE LOGITS
     tires
    1.09
     tire
    1.06
     tyre
    0.98
     Tire
    0.90
     tyres
    0.89
    vable
    0.86
    bike
    0.84
    igue
    0.83
    less
    0.81
    lane
    0.80
    Activations Density 0.005%

    No Known Activations