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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. 12-RES-JB
    11. 2512
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    INDEX
    Explanations

    calls to action related to watching content online

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    phrases related to advertisements and viewer engagement

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     princ
    -0.77
     neighb
    -0.75
     agre
    -0.74
     challeng
    -0.70
     proport
    -0.70
     spons
    -0.68
     encount
    -0.68
     elig
    -0.67
     seiz
    -0.66
     sovere
    -0.65
    POSITIVE LOGITS
     Visit
    1.08
     Website
    0.90
    Visit
    0.82
     Oops
    0.74
    }}}
    0.72
     Subtle
    0.70
    }}
    0.70
     Watch
    0.69
     Favorite
    0.67
     Helpful
    0.67
    Activations Density 0.008%

    No Known Activations