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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. 17891
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    Explanations

    terms related to specific actions and procedures

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to assessment and metrics of performance

    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
     ÂŃ
    -0.84
     Rodham
    -0.81
     lawfully
    -0.66
     provocative
    -0.65
     embattled
    -0.64
    .''.
    -0.62
     narrowly
    -0.62
     unlawfully
    -0.61
    grave
    -0.61
     lawful
    -0.61
    POSITIVE LOGITS
     kinda
    1.03
     tho
    1.01
     haha
    0.96
     ;)
    0.93
     doesnt
    0.90
     :)
    0.88
     alot
    0.88
     somew
    0.87
    hack
    0.82
     lol
    0.80
    Activations Density 1.052%

    No Known Activations