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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. 5767
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    INDEX
    Explanations

    movie titles

    oai_token-act-pair · gpt-3.5-turbo

    titles and specific names of films or media works

    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
     referen
    -0.80
     benches
    -0.79
     looph
    -0.78
     satell
    -0.77
    UTC
    -0.76
    aditional
    -0.75
     credential
    -0.74
     knowledgeable
    -0.73
    arij
    -0.73
    ccording
    -0.71
    POSITIVE LOGITS
     Chronicles
    1.29
     Trilogy
    1.27
     trilogy
    1.15
     Massacre
    1.11
     Reloaded
    1.10
     starring
    1.09
    !,
    1.09
     Remastered
    1.07
     Revis
    1.07
     Revelations
    1.05
    Activations Density 0.345%

    No Known Activations