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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. 22437
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    Explanations

    strong negative words related to violent or unjust actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to injustice and atrocities

    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
    VIEW
    -0.73
    wine
    -0.71
     Borders
    -0.64
     Presidents
    -0.62
    walk
    -0.62
    wright
    -0.61
     expectancy
    -0.61
     Helpful
    -0.60
    parent
    -0.59
     Values
    -0.59
    POSITIVE LOGITS
    itous
    1.20
    ity
    1.07
    ities
    0.97
    acies
    0.93
    acle
    0.90
    ians
    0.86
    uously
    0.86
    iously
    0.86
    anca
    0.85
    adian
    0.84
    Activations Density 0.020%

    No Known Activations