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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. 10327
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    Explanations

    positive descriptions of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their characteristics or qualities

    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
    ories
    -0.70
    raviolet
    -0.65
    itars
    -0.64
     Pelicans
    -0.63
    ickets
    -0.63
     VIDEOS
    -0.61
    ousands
    -0.60
     Drivers
    -0.60
     terminals
    -0.59
    Stars
    -0.58
    POSITIVE LOGITS
     whose
    0.85
     who
    0.83
    nered
    0.81
     nonetheless
    0.76
     capable
    0.75
     himself
    0.75
    uscript
    0.75
     whom
    0.75
    izer
    0.75
     deserving
    0.71
    Activations Density 0.133%

    No Known Activations