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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. 5258
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    Explanations

    phrases related to violent occurrences or criminal investigations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to occurrences of death

    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
    venants
    -0.87
    soType
    -0.76
    Catalog
    -0.76
    wcsstore
    -0.75
    vana
    -0.74
    ava
    -0.73
    vc
    -0.73
    ocating
    -0.73
    hey
    -0.72
    ocations
    -0.72
    POSITIVE LOGITS
     innocent
    1.15
     innoc
    1.03
     unborn
    1.01
     Trayvon
    0.99
     unarmed
    0.91
     Osama
    0.88
     Innocent
    0.87
     teenager
    0.85
     hostages
    0.85
     kittens
    0.84
    Activations Density 0.112%

    No Known Activations