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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. 6-RES-JB
    6. 3275
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    Explanations

    references to different types of potatoes

    oai_token-act-pair · gpt-3.5-turbo

    references to potatoes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.85
    inances
    -0.84
    ¥µ
    -0.82
    herty
    -0.80
    stract
    -0.78
    eanor
    -0.77
    utenberg
    -0.77
    olulu
    -0.76
    uckland
    -0.75
    ¥ŀ
    -0.74
    POSITIVE LOGITS
     potato
    1.01
     starch
    1.00
     potatoes
    0.96
    atoes
    0.92
     salad
    0.90
    assium
    0.87
     Potato
    0.86
     chips
    0.85
    cake
    0.83
    weed
    0.82
    Activations Density 0.016%

    No Known Activations