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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. 9-RES-JB
    11. 2271
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    Explanations

    words related to destruction and damage caused by various events or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating damage or impact caused by various forces or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istry
    -0.80
    itone
    -0.79
    esame
    -0.75
    ãĤ±
    -0.74
    Registered
    -0.73
    ODY
    -0.71
    LO
    -0.71
    inea
    -0.70
     entertained
    -0.69
    ãĤ½
    -0.68
    POSITIVE LOGITS
     earthquakes
    1.13
     erosion
    1.12
     vandalism
    1.06
     hurricanes
    1.06
     Hurricane
    1.05
     storms
    1.05
     layoffs
    1.01
     landsl
    1.01
     attrition
    1.01
     flooding
    1.00
    Activations Density 0.197%

    No Known Activations