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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. 3-RES-JB
    11. 17550
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of saving or preservation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     glim
    -0.65
     athlet
    -0.65
     challeng
    -0.64
    MR
    -0.63
     mobilization
    -0.63
    IFIED
    -0.62
    NESS
    -0.61
    ually
    -0.61
    oros
    -0.60
     nascent
    -0.60
    POSITIVE LOGITS
    llan
    1.00
    tta
    0.90
    tsky
    0.89
    aways
    0.87
    llo
    0.86
    astern
    0.85
    tails
    0.76
    illance
    0.76
    leon
    0.75
    tail
    0.73
    Activations Density 0.010%

    No Known Activations