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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. 19616
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    Explanations

    TV show titles

    oai_token-act-pair · gpt-3.5-turbo

    elements related to specific TV shows or movies, particularly in a comedic context

    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
     facilit
    -0.83
     administr
    -0.79
     trough
    -0.79
     experienced
    -0.76
    rb
    -0.74
     apparatus
    -0.74
     receiver
    -0.74
     denomin
    -0.73
     fee
    -0.72
     opp
    -0.71
    POSITIVE LOGITS
     Resurrection
    1.32
     Armageddon
    1.25
     Dracula
    1.22
     Chronicles
    1.20
     Moonlight
    1.19
     Apocalypse
    1.18
     Sleeping
    1.18
     Haunted
    1.18
     Escape
    1.16
     Clockwork
    1.16
    Activations Density 0.234%

    No Known Activations