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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. 5-RES-JB
    6. 2257
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    INDEX
    Explanations

    things related to specific instructions or directions

    oai_token-act-pair · gpt-3.5-turbo

    the word "To" indicating purpose or intent in sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.71
     nets
    -0.69
    itiz
    -0.66
     drops
    -0.65
    hops
    -0.65
     forg
    -0.63
     wipes
    -0.61
     diapers
    -0.60
     taps
    -0.60
     clut
    -0.59
    POSITIVE LOGITS
    ilet
    1.24
     summarize
    1.05
     reiterate
    0.94
    oru
    0.89
     clarify
    0.89
    ffee
    0.89
    ppings
    0.87
    pping
    0.84
    aru
    0.83
     celebrate
    0.81
    Activations Density 0.052%

    No Known Activations