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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. 14810
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    Explanations

    numbers related to movie box office earnings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of movie release performance and box office earnings

    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
    afety
    -1.09
    CHAT
    -0.81
    plain
    -0.81
    UTH
    -0.76
    obyl
    -0.74
     practise
    -0.72
     bureaucr
    -0.72
     apprentices
    -0.71
     indoctr
    -0.71
    ewitness
    -0.71
    POSITIVE LOGITS
     viewership
    1.10
     blockbuster
    1.02
    Elsewhere
    0.99
     debut
    0.98
    Sony
    0.97
     Sony
    0.96
     Paramount
    0.95
     debuted
    0.95
     sales
    0.95
     sequels
    0.95
    Activations Density 0.607%

    No Known Activations