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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. 2-RES-JB
    11. 7235
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    Explanations

    words related to fundraising events, particularly raffles and curries

    oai_token-act-pair · gpt-3.5-turbo

    words related to waffles and dishes made with them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     skelet
    -0.75
    uality
    -0.69
     Kut
    -0.69
     Beaut
    -0.65
     Fargo
    -0.64
     fertility
    -0.64
     Lomb
    -0.63
     Bog
    -0.62
     Luther
    -0.62
    GV
    -0.61
    POSITIVE LOGITS
    affle
    1.05
    affles
    0.92
    rette
    0.86
    olean
    0.84
    iliate
    0.83
    anooga
    0.83
    ãĥ¼ãĤ¯
    0.83
    poon
    0.81
    eria
    0.80
    vine
    0.78
    Activations Density 0.010%

    No Known Activations