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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. 10-RES-JB
    6. 4059
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    INDEX
    Explanations

    brands of soda and related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of soda brands and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iannopoulos
    -0.79
    urally
    -0.76
    aldo
    -0.75
    ebin
    -0.74
    amily
    -0.72
    blogspot
    -0.71
    ooting
    -0.70
    inel
    -0.70
    ioned
    -0.69
    ancial
    -0.69
    POSITIVE LOGITS
    Cola
    1.28
     bottles
    1.19
     drinkers
    1.13
     cans
    1.11
     bottle
    1.10
     soda
    1.08
     Bottle
    1.07
     Sprite
    1.03
     cups
    0.98
     Coke
    0.96
    Activations Density 0.058%

    No Known Activations