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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. 4-RES-JB
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    terms related to special operations and teams

    oai_token-act-pair · gpt-3.5-turbo

    terms related to military or special operations

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

    No Comments

    Negative Logits
     pub
    -0.73
     contag
    -0.71
     breakup
    -0.68
     earliest
    -0.67
    apest
    -0.67
     Cah
    -0.67
    ibal
    -0.65
     collapse
    -0.65
     inev
    -0.64
     sidx
    -0.63
    POSITIVE LOGITS
    iaries
    0.82
    Special
    0.71
    urated
    0.69
    ij士
    0.68
    olitics
    0.67
    itions
    0.67
     Grimoire
    0.66
    BILITIES
    0.65
    asures
    0.65
    ortment
    0.65
    Activations Density 0.084%

    No Known Activations