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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. 1-RES-JB
    11. 4887
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    Explanations

    terms related to interactions or manipulations of data layers or components

    oai_token-act-pair · gpt-3.5-turbo

    forms of the word "interact" or related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     live
    -0.71
     fidelity
    -0.66
    VP
    -0.66
     running
    -0.61
     plan
    -0.61
     monitor
    -0.61
    swick
    -0.61
     playbook
    -0.60
     Zombies
    -0.59
     TBA
    -0.59
    POSITIVE LOGITS
    ract
    1.82
    ractor
    1.31
    racted
    1.06
    ress
    1.03
    ractive
    0.94
    icit
    0.91
    raction
    0.89
    ors
    0.88
    entimes
    0.87
    icably
    0.87
    Activations Density 0.009%

    No Known Activations