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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. 4-RES-JB
    11. 17286
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    Explanations

    words related to physical activities or tasks

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to strategy and progression in competition or games

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

    No Comments

    Negative Logits
    ortium
    -0.60
    named
    -0.57
     Cosponsors
    -0.56
     Revision
    -0.52
    çīĪ
    -0.52
    published
    -0.52
    irteen
    -0.50
    buster
    -0.49
    gov
    -0.48
    oslov
    -0.48
    POSITIVE LOGITS
     crappy
    0.60
     predetermined
    0.58
     hassle
    0.55
     crap
    0.53
     yourself
    0.53
     tasty
    0.53
     boring
    0.53
     sweaty
    0.53
     desired
    0.52
     meal
    0.52
    Activations Density 2.964%

    No Known Activations