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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. 4099
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    INDEX
    Explanations

    phrases related to receiving advantage or gaining positive outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating positive impact or advantage

    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
    opic
    -0.70
     Monstrous
    -0.67
    amb
    -0.66
     Straw
    -0.61
     Dynam
    -0.60
    Plot
    -0.60
    pr
    -0.59
    bat
    -0.59
     polarized
    -0.59
    gran
    -0.58
    POSITIVE LOGITS
    benefit
    1.05
    ĸļ
    0.96
     benefit
    0.95
     afforded
    0.87
    doms
    0.85
    onies
    0.82
    ocrats
    0.82
    iciary
    0.81
    farious
    0.80
    itism
    0.79
    Activations Density 0.018%

    No Known Activations