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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. 3669
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    Explanations

    phrases related to movie or TV show critiques

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    critical comparisons of narratives within media, particularly focusing on the quality and substance of storytelling

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -1.01
     Cosponsors
    -0.86
    odan
    -0.86
    ulia
    -0.83
    chev
    -0.82
    ð
    -0.80
    "]=>
    -0.78
    ppe
    -0.77
    zza
    -0.75
    ushima
    -0.75
    POSITIVE LOGITS
     derivative
    1.19
     autobi
    1.11
     enjoyable
    1.10
     epis
    1.07
     marketed
    1.02
     preach
    1.02
     entertaining
    1.00
     devoid
    0.99
     satirical
    0.96
     gripping
    0.95
    Activations Density 0.269%

    No Known Activations