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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 4696
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    Explanations

    mentions of detaining or related actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to detention or detainment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocene
    -0.98
    manship
    -0.78
    ammy
    -0.71
    raviolet
    -0.69
     Myth
    -0.67
     Awakens
    -0.65
     nomine
    -0.64
    externalActionCode
    -0.63
    Myth
    -0.62
    ħĭ
    -0.62
    POSITIVE LOGITS
    ention
    1.06
     det
    1.05
    roit
    0.96
    achable
    0.94
    ailed
    0.90
    ried
    0.87
    rans
    0.82
    ainer
    0.80
    ourn
    0.79
    ered
    0.79
    Activations Density 0.006%

    No Known Activations