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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. 3-RES-JB
    11. 9151
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    Explanations

    phrases related to ownership or quantity

    oai_token-act-pair · gpt-3.5-turbo

    the term "lot" and its variations, indicating a focus on quantity or magnitude

    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
    heid
    -0.86
    ando
    -0.86
    rift
    -0.70
    gary
    -0.69
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.66
    âĢ¢âĢ¢
    -0.65
    tein
    -0.64
    perty
    -0.64
    incinnati
    -0.63
    SPONSORED
    -0.62
    POSITIVE LOGITS
    tery
    0.75
     amount
    0.73
    ortment
    0.72
     amounts
    0.68
    ãĥ³
    0.67
    lot
    0.65
    ãĤ§
    0.65
    vre
    0.65
    ter
    0.64
    umen
    0.63
    Activations Density 0.043%

    No Known Activations