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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. 18918
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    INDEX
    Explanations

    superlatives such as "most," "greatest," and "best" attached to specific categories like movies, music, actors, and sports

    oai_token-act-pair · gpt-3.5-turbo

    references to notable achievements or rankings over time

    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
    insula
    -0.70
    erto
    -0.68
    swers
    -0.64
    uties
    -0.64
    raviolet
    -0.63
    ards
    -0.63
     heels
    -0.63
     pitch
    -0.63
    het
    -0.62
    Weak
    -0.62
    POSITIVE LOGITS
    frames
    1.04
    pieces
    0.90
    flies
    0.80
     ago
    0.79
    glass
    0.78
     eras
    0.77
    cia
    0.76
    cens
    0.76
    frame
    0.74
    brates
    0.74
    Activations Density 0.058%

    No Known Activations