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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. 4831
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    Explanations

    phrases related to time or sequence

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the" in various contexts

    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
    lift
    -0.69
    tons
    -0.67
    packages
    -0.67
    artifacts
    -0.65
    stuff
    -0.64
    forces
    -0.62
    itary
    -0.59
    ecided
    -0.58
    ties
    -0.57
    tracking
    -0.57
    POSITIVE LOGITS
     outset
    1.21
     moment
    1.13
     behest
    1.07
     same
    0.97
     forefront
    0.95
     end
    0.92
     conclusion
    0.87
     height
    0.81
     insistence
    0.81
     heart
    0.80
    Activations Density 0.069%

    No Known Activations