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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
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    Explanations

    mentions of terrorist attacks

    oai_token-act-pair · gpt-3.5-turbo

    references to terrorist attacks

    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
    dit
    -0.76
    ETA
    -0.69
    OVA
    -0.68
    66666666
    -0.63
    patch
    -0.62
    theless
    -0.62
    spl
    -0.61
    arden
    -0.61
     mineral
    -0.60
    }}}
    -0.60
    POSITIVE LOGITS
     attacks
    1.00
     perpetrated
    0.90
     spree
    0.90
    hips
    0.84
    attacks
    0.84
     targeting
    0.84
    attack
    0.82
     against
    0.82
     attackers
    0.81
     attack
    0.81
    Activations Density 0.024%

    No Known Activations