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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. 10-RES-JB
    11. 5720
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    Explanations

    phrases related to moral or ethical qualities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to 'more' or variations of the word that indicate quantity or excess

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    XY
    -0.66
    BOOK
    -0.65
     Mechdragon
    -0.62
     polarized
    -0.59
     complimentary
    -0.59
     Reboot
    -0.58
     Wheeler
    -0.57
     fuzzy
    -0.56
     Parties
    -0.55
     Discrimination
    -0.54
    POSITIVE LOGITS
    sels
    1.05
    rison
    0.98
    gue
    0.94
    asses
    0.92
    phia
    0.88
    assing
    0.88
    ose
    0.85
    alid
    0.85
    aceutical
    0.84
    osen
    0.83
    Activations Density 0.039%

    No Known Activations