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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. 4-RES-JB
    11. 7532
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    Explanations

    words related to electronic devices, especially smartphones

    oai_token-act-pair · gpt-3.5-turbo

    references to mobile phones

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

    No Comments

    Negative Logits
    chall
    -0.77
    nesday
    -0.76
    pmwiki
    -0.73
    rix
    -0.73
    urities
    -0.71
    riks
    -0.70
    gew
    -0.70
     Volunte
    -0.68
    tainment
    -0.68
    alid
    -0.67
    POSITIVE LOGITS
     handset
    0.92
    phones
    0.89
     phones
    0.87
     charger
    0.85
    ysis
    0.81
    gap
    0.80
     HTC
    0.78
    awei
    0.78
     apps
    0.74
     smartphones
    0.71
    Activations Density 0.019%

    No Known Activations