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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. 9-RES-JB
    11. 24108
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    Explanations

    proper names related to characters, places, and historical or fictional figures

    oai_token-act-pair · gpt-3.5-turbo

    words related to philosophical concepts and their historical context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Accord
    -0.61
    eers
    -0.60
     footing
    -0.56
    ciating
    -0.56
     srfAttach
    -0.55
     segregation
    -0.55
    enthal
    -0.55
    mble
    -0.54
     ledger
    -0.53
    schild
    -0.53
    POSITIVE LOGITS
    adelphia
    1.19
    ebus
    1.01
    ogram
    0.81
    ¬
    0.77
    aceutical
    0.76
    Ļ
    0.75
    rex
    0.73
    osph
    0.70
    İ
    0.70
    phone
    0.70
    Activations Density 0.088%

    No Known Activations