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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. 3-RES-JB
    11. 4203
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    INDEX
    Explanations

    proper nouns, specifically last names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals in the context of a media or entertainment setting

    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
    achusetts
    -0.78
    ifted
    -0.67
    oided
    -0.65
     tremend
    -0.64
     indo
    -0.62
    UME
    -0.62
    udic
    -0.61
    anwhile
    -0.61
     imagination
    -0.60
    ultan
    -0.60
    POSITIVE LOGITS
    patrick
    0.94
    hler
    0.94
    stown
    0.91
    lin
    0.89
    legate
    0.88
    gaard
    0.87
    ysis
    0.87
    emouth
    0.82
    eman
    0.81
    stall
    0.79
    Activations Density 0.014%

    No Known Activations