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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. 7-RES-JB
    11. 17224
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    Explanations

    statements made in professional contexts

    oai_token-act-pair · gpt-3.5-turbo

    the frequent use of the word "in" to indicate location or context within statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.77
     %%
    -0.77
     combatants
    -0.64
     snipers
    -0.64
     therein
    -0.64
     needs
    -0.62
     ens
    -0.61
     heirs
    -0.59
     learners
    -0.59
     distur
    -0.59
    POSITIVE LOGITS
     lieu
    1.19
     unison
    1.06
    aug
    0.97
     advance
    0.91
    humane
    0.90
    clus
    0.89
     conjunction
    0.89
    cluded
    0.87
     accordance
    0.86
     order
    0.86
    Activations Density 0.095%

    No Known Activations