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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. 2-RES-JB
    11. 5389
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    Explanations

    words related to risky or harmful behavior

    oai_token-act-pair · gpt-3.5-turbo

    terms related to reckless behavior and reckoning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     recess
    -0.75
     Sandwich
    -0.68
     subsistence
    -0.65
    Magikarp
    -0.65
     markup
    -0.64
     settlement
    -0.64
     signatures
    -0.63
     intermedi
    -0.63
     enrollment
    -0.63
     confirmation
    -0.62
    POSITIVE LOGITS
    lessly
    1.27
    lessness
    1.05
    oner
    0.99
    illery
    0.96
    onen
    0.91
    oning
    0.91
    ledged
    0.90
    lied
    0.90
    ons
    0.88
    icz
    0.88
    Activations Density 0.016%

    No Known Activations