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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. 7-RES-JB
    11. 8725
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    Explanations

    negative outcomes or consequences

    oai_token-act-pair · gpt-3.5-turbo

    negative or harmful concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uana
    -0.77
    glas
    -0.76
    ebus
    -0.76
    £ı
    -0.70
    tains
    -0.68
    orney
    -0.68
    etch
    -0.66
    orthy
    -0.65
    Ħ¢
    -0.65
    bring
    -0.63
    POSITIVE LOGITS
    ãĥ¼
    0.75
    ãĥĨ
    0.74
     miser
    0.74
    ãĤ«
    0.71
    monkey
    0.70
    luster
    0.67
    afe
    0.65
     hesitate
    0.65
    lessly
    0.65
     underestimate
    0.64
    Activations Density 0.922%

    No Known Activations