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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. 10-RES-JB
    11. 16462
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    INDEX
    Explanations

    mentions of explosive devices or related incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to bomb-related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    laus
    -0.85
    }}}
    -0.70
    DAY
    -0.65
    dit
    -0.64
     Inquis
    -0.63
    olars
    -0.63
     Virt
    -0.62
     Ethiop
    -0.62
     Wem
    -0.62
     scant
    -0.60
    POSITIVE LOGITS
    arding
    1.41
    arded
    1.34
    astic
    1.13
    astically
    1.08
     detonated
    1.05
    ards
    1.00
     disposal
    1.00
     deton
    0.98
     blasts
    0.94
     blast
    0.90
    Activations Density 0.032%

    No Known Activations