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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. 8-RES-JB
    11. 23715
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    Explanations

    future actions or plans described in the text

    oai_token-act-pair · gpt-3.5-turbo

    future predictions or expectations regarding events and decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Remastered
    -0.62
    theless
    -0.62
     Metatron
    -0.61
     capacitor
    -0.61
     Technician
    -0.59
    ithub
    -0.59
    ocious
    -0.58
     behavi
    -0.57
    maxwell
    -0.57
    pathic
    -0.57
    POSITIVE LOGITS
     sorely
    0.85
     deem
    0.84
     emulate
    0.68
     inhabit
    0.68
     dread
    0.65
     overlook
    0.65
     encounter
    0.64
     deems
    0.64
    endor
    0.63
    abouts
    0.63
    Activations Density 0.232%

    No Known Activations