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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. 6510
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    Explanations

    mentions of specific dates or time

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates and historical events

    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
     slammed
    -0.60
     attacker
    -0.59
     slamming
    -0.58
     protester
    -0.56
     slam
    -0.55
     microphone
    -0.54
     Shutterstock
    -0.54
     Joker
    -0.54
     giveaway
    -0.53
     rapists
    -0.53
    POSITIVE LOGITS
    etheless
    0.83
     anew
    0.82
     spor
    0.81
     remnant
    0.79
    still
    0.77
     gradually
    0.77
     experien
    0.75
    pload
    0.74
    NetMessage
    0.74
    contin
    0.74
    Activations Density 1.476%

    No Known Activations