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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. 1-RES-JB
    11. 7628
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    Explanations

    mentions of smartphones

    oai_token-act-pair · gpt-3.5-turbo

    references to smartphones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adium
    -0.80
    rd
    -0.77
    bos
    -0.71
     Abram
    -0.70
    tan
    -0.68
    ten
    -0.67
    oval
    -0.67
    oldemort
    -0.66
    alid
    -0.66
    vere
    -0.65
    POSITIVE LOGITS
    awei
    1.08
     smartphone
    1.07
     smartphones
    1.06
     handset
    1.03
     phones
    0.89
     cooker
    0.85
     iPhones
    0.82
    phones
    0.82
     gadget
    0.81
     apps
    0.81
    Activations Density 0.008%

    No Known Activations