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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. 8-RES-JB
    6. 22144
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    INDEX
    Explanations

    specific numerical values or measurements mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to seasons in a series or program

    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
     Afric
    -0.58
    Iss
    -0.57
    idia
    -0.56
     scapego
    -0.55
    )?
    -0.54
     Rodrigo
    -0.54
    oint
    -0.54
     sided
    -0.53
    learning
    -0.52
    bit
    -0.51
    POSITIVE LOGITS
     predecessors
    1.33
     counterparts
    1.20
     previous
    1.20
     traditional
    1.16
     normally
    1.15
     conventional
    1.14
     usual
    1.12
     predecessor
    1.08
     competitors
    1.07
     ordinarily
    1.07
    Activations Density 1.115%

    No Known Activations