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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. 8-RES-JB
    11. 17618
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    Explanations

    adjectives related to positive experiences and emotions

    oai_token-act-pair · gpt-3.5-turbo

    words related to excitement and enjoyment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     respecting
    -0.72
    sup
    -0.69
    ©¶æ
    -0.68
    ariat
    -0.67
    ohn
    -0.66
    sama
    -0.64
    gemony
    -0.63
    idelines
    -0.63
    avia
    -0.62
    christ
    -0.62
    POSITIVE LOGITS
    ly
    0.92
     Flavoring
    0.88
    \\\\\\\\
    0.85
     surprises
    0.75
    iliar
    0.75
    nels
    0.73
     ride
    0.71
    nell
    0.71
     experiences
    0.70
    glers
    0.70
    Activations Density 0.132%

    No Known Activations