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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. 9-RES-JB
    11. 7096
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    Explanations

    phrases related to critical or negative views

    oai_token-act-pair · gpt-3.5-turbo

    references to societal and political structures or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITNESS
    -0.70
    Specific
    -0.67
    licensed
    -0.66
     newcom
    -0.66
     Moroc
    -0.64
    CLASSIFIED
    -0.63
    ThumbnailImage
    -0.63
    ilingual
    -0.62
    qualified
    -0.59
    responsible
    -0.59
    POSITIVE LOGITS
     curtain
    1.15
     curve
    1.09
     iceberg
    1.08
     veil
    1.03
     wagon
    1.00
     throats
    0.98
     curtains
    0.97
     fence
    0.97
     cliff
    0.96
     microscope
    0.96
    Activations Density 0.768%

    No Known Activations