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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. 24553
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    Explanations

    visual descriptions or actions happening in specific settings

    oai_token-act-pair · gpt-3.5-turbo

    references to observation and urban environments

    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
    quickShipAvailable
    -0.80
    ouple
    -0.73
    Secondly
    -0.70
    arent
    -0.66
    %"
    -0.65
    ENA
    -0.63
     Chocobo
    -0.62
    resa
    -0.61
     Extras
    -0.60
    obal
    -0.60
    POSITIVE LOGITS
     frantically
    1.19
     furiously
    1.17
     blindly
    1.16
     like
    1.14
     oblivious
    1.12
     helpless
    1.11
     relentlessly
    1.10
     nervously
    1.09
     eagerly
    1.08
     silently
    1.07
    Activations Density 0.513%

    No Known Activations