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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. 1-RES-JB
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    Explanations

    phrases related to negativity or disgrace

    oai_token-act-pair · gpt-3.5-turbo

    words related to ominousness or negativity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     distance
    -0.80
     hint
    -0.72
     wallpaper
    -0.69
    ħĭ
    -0.67
     Archangel
    -0.61
     Leilan
    -0.61
     background
    -0.61
     resolution
    -0.61
     Wire
    -0.61
     Reload
    -0.61
    POSITIVE LOGITS
    omin
    1.74
    ational
    1.16
    umerable
    1.13
    ations
    1.12
    etric
    1.11
    atory
    1.11
    itives
    1.10
    omial
    1.07
    antly
    1.06
    ous
    1.03
    Activations Density 0.006%

    No Known Activations