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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. 8-RES-JB
    11. 1835
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    Explanations

    phrases related to ethical considerations and social responsibility

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and phrases that imply respect, safety, and progressive values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     icons
    -0.85
    ravings
    -0.84
    izons
    -0.83
    brids
    -0.80
    ammers
    -0.75
     faults
    -0.75
    Tags
    -0.75
    ometers
    -0.75
     buttons
    -0.75
    appings
    -0.74
    POSITIVE LOGITS
     manner
    1.25
     context
    1.14
     nutshell
    1.06
     vein
    1.05
     fashion
    1.01
     hurry
    0.98
     guise
    0.97
     courtroom
    0.93
     setting
    0.89
     format
    0.87
    Activations Density 0.285%

    No Known Activations