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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. 8-RES-JB
    11. 7770
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    Explanations

    words related to personal and professional goals or desires

    oai_token-act-pair · gpt-3.5-turbo

    phrases and words related to ambition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bah
    -0.84
    avis
    -0.79
    rooms
    -0.74
    picking
    -0.72
    ãĤ´ãĥ³
    -0.71
    orders
    -0.66
    patch
    -0.66
    ãĥĥãĤ¯
    -0.65
    room
    -0.65
    icka
    -0.63
    POSITIVE LOGITS
     aspirations
    1.00
     ambition
    0.97
     ambitions
    0.96
     aspire
    0.94
     aspiration
    0.94
     attainment
    0.90
     ambitious
    0.85
     goals
    0.83
    pires
    0.78
     seeker
    0.77
    Activations Density 0.034%

    No Known Activations