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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. 9541
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    Explanations

    words related to difficult situations or problems that need to be overcome

    oai_token-act-pair · gpt-3.5-turbo

    references to various difficulties or obstacles faced in different contexts

    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
     Removed
    -0.66
    ople
    -0.64
    ocked
    -0.60
     guiActiveUnfocused
    -0.59
     Yel
    -0.59
    uted
    -0.59
    clad
    -0.59
     Anon
    -0.58
    owment
    -0.58
    omet
    -0.57
    POSITIVE LOGITS
     challenges
    3.64
     Challenges
    2.79
     challenge
    2.47
    chall
    2.11
    Chall
    2.03
     hurdles
    1.90
     obstacles
    1.87
     challenging
    1.85
     difficulties
    1.85
     challengers
    1.78
    Activations Density 0.017%

    No Known Activations