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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. 0-RES-JB
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    Explanations

    references to specific entities or terms having "rat" in them

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "rat" or variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fields
    -0.69
     deploy
    -0.66
     Leilan
    -0.65
    ggies
    -0.60
    KS
    -0.60
     entry
    -0.58
     deploying
    -0.58
    ãģį
    -0.57
     Lily
    -0.57
     Waterloo
    -0.57
    POSITIVE LOGITS
    rat
    4.64
    rats
    2.47
    Rat
    2.07
    rates
    1.84
    rate
    1.57
     Rat
    1.56
    rating
    1.52
    rad
    1.46
    rations
    1.37
    ras
    1.25
    Activations Density 0.015%

    No Known Activations