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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. 6-RES-JB
    11. 9844
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    Explanations

    phrases related to the potential utilization of resources

    oai_token-act-pair · gpt-3.5-turbo

    terms related to usage and review processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     convol
    -0.65
    Lock
    -0.62
     Patriarch
    -0.61
     Masquerade
    -0.60
     Warrant
    -0.59
     Notting
    -0.59
     Verb
    -0.59
     Doomsday
    -0.58
    isy
    -0.57
    nova
    -0.57
    POSITIVE LOGITS
     purposes
    1.62
     sake
    1.38
    ummies
    1.00
     reasons
    0.98
     purpose
    0.88
    farious
    0.75
    EngineDebug
    0.70
    ulation
    0.69
     fodder
    0.69
    okers
    0.69
    Activations Density 0.208%

    No Known Activations