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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. 11-RES-JB
    11. 6913
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    Explanations

    positive and negative behavioral traits describing interactions within social groups

    oai_token-act-pair · gpt-3.5-turbo

    relationships and dynamics within sexual and social contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éļ
    -0.72
    Assembly
    -0.71
    flags
    -0.70
    Operation
    -0.68
    ãĤ¸
    -0.67
    Awesome
    -0.66
    Delivery
    -0.66
    Database
    -0.65
    Buff
    -0.64
    packages
    -0.63
    POSITIVE LOGITS
     unconsciously
    1.45
     perceive
    1.42
     crave
    1.31
     subconscious
    1.24
     consciously
    1.21
     instinctively
    1.21
     indulge
    1.17
     embody
    1.16
     succumb
    1.16
     resent
    1.15
    Activations Density 0.405%

    No Known Activations