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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. 13664
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    Explanations

    phrases related to people and their characteristics or actions in a context associated with news or legal matters

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities, particularly in relation to controversies or discussions involving them

    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
     eleph
    -1.29
    anwhile
    -1.10
     oun
    -1.10
     occas
    -1.04
     princ
    -1.00
    aditional
    -0.95
     pione
    -0.95
     tremend
    -0.94
    ortunately
    -0.92
     sacrific
    -0.89
    POSITIVE LOGITS
    Cool
    1.35
    Power
    1.30
    Ping
    1.29
    Same
    1.29
    Control
    1.27
    Qu
    1.27
    Ban
    1.26
    Train
    1.26
    Depths
    1.26
    Land
    1.26
    Activations Density 0.078%

    No Known Activations