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

    the word "widow" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of widows and widowhood

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     constitu
    -0.76
    anwhile
    -0.75
    ãĥ¯ãĥ³
    -0.71
    eele
    -0.71
     Screw
    -0.70
    Ú
    -0.68
     EQU
    -0.66
    */(
    -0.66
    eering
    -0.65
    esian
    -0.65
    POSITIVE LOGITS
     widow
    1.29
     wid
    1.09
    hood
    1.04
    ows
    0.96
    doms
    0.93
     Wid
    0.87
    iciary
    0.87
    nesday
    0.86
    owship
    0.85
    aughters
    0.82
    Activations Density 0.012%

    No Known Activations