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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
    11. 14921
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    Explanations

    words related to difficulty or challenges

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "hard."

    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
     conj
    -0.73
     Trop
    -0.67
     Place
    -0.66
     Gifts
    -0.63
     Origins
    -0.61
     Sana
    -0.60
     utilization
    -0.60
     gifts
    -0.60
     Vale
    -0.59
     Zoo
    -0.58
    POSITIVE LOGITS
    hard
    4.37
    Hard
    2.11
    hardt
    1.95
     Hard
    1.68
    soft
    1.53
     hard
    1.51
    hart
    1.46
     harder
    1.36
    Soft
    1.20
     hardest
    1.18
    Activations Density 0.018%

    No Known Activations