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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. 7441
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    Explanations

    verbs or phrases related to taking action or achieving goals

    oai_token-act-pair · gpt-3.5-turbo

    phrases centered around achieving or obtaining something

    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
     Archdemon
    -0.65
    iege
    -0.62
     Inher
    -0.61
     Wonders
    -0.60
     Duty
    -0.60
    mare
    -0.59
     Lies
    -0.58
     experiment
    -0.58
     cardinal
    -0.58
     inhabit
    -0.57
    POSITIVE LOGITS
     rid
    1.57
    TING
    0.96
    away
    0.93
     acquainted
    0.92
     away
    0.89
    bent
    0.88
    aways
    0.82
    tin
    0.80
     Started
    0.78
     distracted
    0.77
    Activations Density 0.113%

    No Known Activations