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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. 12267
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    Explanations

    phrases that suggest or recommend actions or ideas

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate suggestions or recommendations

    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
    agos
    -0.79
     Springer
    -0.71
     Nass
    -0.66
     Notting
    -0.64
    TED
    -0.64
     Foley
    -0.63
     Mehran
    -0.63
    Leod
    -0.62
    OSH
    -0.61
     Goldman
    -0.61
    POSITIVE LOGITS
    ħĭ
    0.83
    edi
    0.79
    eele
    0.77
    »Ĵ
    0.74
    uyomi
    0.70
     reconsider
    0.68
     suggestion
    0.68
     explanation
    0.67
    yip
    0.67
    uces
    0.66
    Activations Density 0.202%

    No Known Activations