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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. 3-RES-JB
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    Explanations

    references to specific episodes from various TV shows

    oai_token-act-pair · gpt-3.5-turbo

    references to specific episodes of television shows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ntil
    -0.93
    enei
    -0.78
    ple
    -0.77
    gn
    -0.74
    sheets
    -0.74
    punk
    -0.71
    achev
    -0.70
    bringing
    -0.70
    wegian
    -0.69
    hee
    -0.68
    POSITIVE LOGITS
     episode
    1.07
     episodes
    0.95
     finale
    0.85
     Episode
    0.85
    isodes
    0.83
    ĸļ
    0.82
     opener
    0.82
    Episode
    0.80
    episode
    0.80
     Recap
    0.77
    Activations Density 0.016%

    No Known Activations