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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. 6-RES-JB
    11. 21759
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    INDEX
    Explanations

    phrases related to evaluating statements or actions

    oai_token-act-pair · gpt-3.5-turbo

    statements emphasizing the concept of health and its implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     notices
    -0.68
     senses
    -0.65
     Naj
    -0.65
     Prosper
    -0.63
     floats
    -0.62
     peg
    -0.62
     fares
    -0.62
     Vald
    -0.60
     Maced
    -0.60
     orbits
    -0.60
    POSITIVE LOGITS
    senal
    1.04
    rael
    0.91
     definitely
    0.88
     indeed
    0.83
     akin
    0.83
     certainly
    0.83
    ŃĶ
    0.82
    olate
    0.82
     therefore
    0.81
     nevertheless
    0.80
    Activations Density 0.327%

    No Known Activations