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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    mentions of the word "Sandy"

    oai_token-act-pair · gpt-3.5-turbo

    references to Sandy and its relation to events in Newtown

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢ
    -0.87
     transl
    -0.74
     extrad
    -0.71
     prem
    -0.70
     translated
    -0.69
     translations
    -0.67
    ê
    -0.67
    abs
    -0.67
    comm
    -0.67
    LG
    -0.65
    POSITIVE LOGITS
     Sandy
    3.91
     Newtown
    1.97
     Katrina
    1.50
     Columb
    1.41
     Ivy
    1.30
    andy
    1.27
     Staten
    1.25
     Sutherland
    1.20
     sandy
    1.18
     Trayvon
    1.17
    Activations Density 0.022%

    No Known Activations