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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. 11-RES-JB
    6. 18902
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    Explanations

    words related to original or source material

    oai_token-act-pair · gpt-3.5-turbo

    words related to origin and indoctrination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     squared
    -0.66
     plaus
    -0.60
    SPONSORED
    -0.58
    #$
    -0.57
    waves
    -0.55
     alternatively
    -0.55
    farm
    -0.54
     patterns
    -0.54
    note
    -0.54
     ende
    -0.54
    POSITIVE LOGITS
    inated
    2.57
    inating
    2.55
    ination
    2.54
    inate
    2.40
    inations
    2.29
    inates
    2.28
    inator
    2.16
    inators
    2.14
    ined
    1.93
    inals
    1.89
    Activations Density 0.116%

    No Known Activations