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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. 20380
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    Explanations

    references to the term "Mis" followed by a unique word or syllable indicating a specific context or use

    oai_token-act-pair · gpt-3.5-turbo

    the term "Mis" followed by various numerical values or identifiers

    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
     Defenders
    -0.69
     Gladiator
    -0.69
    iveness
    -0.67
    swick
    -0.65
     Dull
    -0.64
     Garfield
    -0.64
    ··
    -0.64
     exerc
    -0.64
    hetti
    -0.64
     Ragnarok
    -0.64
    POSITIVE LOGITS
    ogyn
    1.04
    chief
    0.98
    cellaneous
    0.97
    fortune
    0.90
    leading
    0.90
    aka
    0.84
    pered
    0.83
    guided
    0.81
    placed
    0.80
    pell
    0.80
    Activations Density 0.035%

    No Known Activations