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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. 3033
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    Explanations

    phrases related to striving or making efforts to achieve something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express a need or desire to obtain something

    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
    shock
    -0.62
     annex
    -0.61
     Archdemon
    -0.60
    mare
    -0.60
    iege
    -0.59
     depiction
    -0.58
     Duty
    -0.57
     Lies
    -0.57
     Examiner
    -0.57
     commanding
    -0.55
    POSITIVE LOGITS
     rid
    1.48
    TING
    0.94
     acquainted
    0.92
    away
    0.89
     away
    0.88
    bent
    0.81
     distracted
    0.81
    tin
    0.79
     INTO
    0.78
     Started
    0.78
    Activations Density 0.119%

    No Known Activations