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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. 14539
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    Explanations

    descriptions of destruction and displacement, such as ruined houses and uprooted trees

    oai_token-act-pair · gpt-3.5-turbo

    words associated with destruction and environmental damage

    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
    agonist
    -0.78
    antics
    -0.77
    omics
    -0.75
     rematch
    -0.71
     Founders
    -0.69
     Lifetime
    -0.68
     Promotion
    -0.66
    thood
    -0.66
     pairing
    -0.66
    eno
    -0.65
    POSITIVE LOGITS
     quar
    1.14
     roofs
    1.14
     excav
    1.11
     makeshift
    1.06
     protr
    1.05
     rubble
    1.02
     gravel
    1.02
     quarry
    1.01
     debris
    0.99
     limestone
    0.99
    Activations Density 0.834%

    No Known Activations