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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 13276
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    Explanations

    instances of the name "Charlton" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names related to Charleston or notable individuals within that context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     centrif
    -0.75
     paras
    -0.74
    WORK
    -0.69
     breath
    -0.68
     Sorceress
    -0.67
    CHAT
    -0.64
     Butterfly
    -0.64
     Eclipse
    -0.64
     clone
    -0.63
     derog
    -0.62
    POSITIVE LOGITS
    atan
    1.10
    atell
    1.06
    eston
    1.00
    tm
    0.97
    cer
    0.93
    cers
    0.91
    atile
    0.89
    ials
    0.89
    atin
    0.89
    iments
    0.89
    Activations Density 0.040%

    No Known Activations