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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. 172
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    Explanations

    phrases related to exploiting situations or events for personal or political gain

    oai_token-act-pair · gpt-3.5-turbo

    instances where individuals are used to further personal or political agendas

    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
     Indigo
    -0.68
     Lutheran
    -0.68
    opter
    -0.66
     Brom
    -0.65
    tis
    -0.63
    eps
    -0.63
     Coast
    -0.62
     Knot
    -0.61
     Disabled
    -0.61
    Ox
    -0.61
    POSITIVE LOGITS
     blackmail
    1.09
     pretext
    1.04
     leverage
    1.00
     justify
    0.99
     advantage
    0.90
     excuse
    0.87
     gain
    0.86
     bolster
    0.84
     motivate
    0.84
     propel
    0.82
    Activations Density 0.411%

    No Known Activations