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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. 3-RES-JB
    6. 1951
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    Explanations

    references to the name 'Kamala'

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Kamala."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LY
    -0.82
    lines
    -0.81
    line
    -0.80
    ly
    -0.79
    frames
    -0.76
    dit
    -0.75
    leness
    -0.72
    frame
    -0.72
    liness
    -0.72
    manship
    -0.72
    POSITIVE LOGITS
    ibaba
    1.13
    uthor
    1.06
    isa
    1.03
    emia
    1.03
    qua
    0.93
    ala
    0.89
    pha
    0.89
     Pradesh
    0.88
    arie
    0.86
    ensis
    0.85
    Activations Density 0.011%

    No Known Activations