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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. 18616
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    Explanations

    keywords related to practicality and feasibility

    oai_token-act-pair · gpt-3.5-turbo

    references to practical applications or considerations

    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
    ngth
    -0.73
    gow
    -0.71
    buck
    -0.71
    ocl
    -0.71
    opsis
    -0.70
    Gate
    -0.70
    essee
    -0.70
    eworld
    -0.69
    rak
    -0.68
    adder
    -0.68
    POSITIVE LOGITS
    ity
    0.98
     impossibility
    0.85
    ities
    0.84
    istically
    0.81
    iencies
    0.79
     necessities
    0.78
     considerations
    0.76
     minded
    0.71
     necessity
    0.71
     embodiment
    0.70
    Activations Density 0.019%

    No Known Activations