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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. 11-RES-JB
    11. 22109
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    Explanations

    references to movies and TV shows in its context

    oai_token-act-pair · gpt-3.5-turbo

    references to specific television shows or productions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     lapse
    -0.96
     pressures
    -0.93
     synerg
    -0.89
     subdiv
    -0.88
     attent
    -0.87
     monop
    -0.87
     yield
    -0.87
     stretched
    -0.86
     extrap
    -0.85
     attach
    -0.85
    POSITIVE LOGITS
    Operation
    1.59
    Stars
    1.44
    Cele
    1.44
    Stra
    1.41
    Mother
    1.41
    Dream
    1.41
    Night
    1.40
    Burn
    1.40
    Fore
    1.40
    Inf
    1.39
    Activations Density 0.147%

    No Known Activations