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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. 11-RES-JB
    11. 12631
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    Explanations

    terms related to the act of adopting or adoption, such as adopting values, adopting policies, or adopting new approaches

    oai_token-act-pair · gpt-3.5-turbo

    references to adopting policies or values, particularly in a social or political context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    brance
    -0.79
     istg
    -0.76
    imeo
    -0.75
    othal
    -0.70
    ONEY
    -0.67
    INFO
    -0.66
    ixtape
    -0.66
    abouts
    -0.64
    orsi
    -0.64
    vertisement
    -0.63
    POSITIVE LOGITS
     policies
    0.91
     stances
    0.86
    ively
    0.84
     strategies
    0.84
     strict
    0.81
     stricter
    0.81
     principles
    0.80
     techniques
    0.78
     stringent
    0.77
     unconventional
    0.74
    Activations Density 0.113%

    No Known Activations