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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. 3301
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    Explanations

    keywords related to retaining or keeping something

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with the concept of retention or maintaining possession of something

    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
    Sys
    -0.67
    Reply
    -0.66
    ode
    -0.65
    MQ
    -0.65
    jah
    -0.65
    twitch
    -0.64
    Fax
    -0.64
    Ops
    -0.62
    gs
    -0.62
    DragonMagazine
    -0.62
    POSITIVE LOGITS
     intact
    1.14
     memories
    0.90
     integrity
    0.81
     composure
    0.77
     possessions
    0.77
     sanity
    0.75
     traditions
    0.75
     individuality
    0.75
    itionally
    0.73
     vitality
    0.73
    Activations Density 0.068%

    No Known Activations