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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. 11-RES-JB
    11. 21920
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    Explanations

    words related to negative events or situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter "p"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Shining
    -0.87
     compe
    -0.85
     Dispatch
    -0.67
     Pend
    -0.63
     adm
    -0.62
     Leth
    -0.61
     shares
    -0.61
     Revel
    -0.60
     Rear
    -0.59
     Rebels
    -0.59
    POSITIVE LOGITS
    arenthood
    1.21
    endant
    1.20
    orters
    1.19
    antom
    1.15
    orter
    1.13
    sil
    1.13
    ierce
    1.11
    oké
    1.11
    uffed
    1.10
    ensive
    1.10
    Activations Density 0.024%

    No Known Activations