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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. 2-RES-JB
    11. 15462
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    Explanations

    comparative adjectives indicating a negative outcome or situation

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating negative outcomes or worsening situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oir
    -0.88
    ague
    -0.81
    riage
    -0.79
    etition
    -0.77
    encers
    -0.76
    adr
    -0.75
    brew
    -0.74
    ieu
    -0.74
    heter
    -0.74
    eting
    -0.74
    POSITIVE LOGITS
     than
    1.01
     behaved
    0.88
     catast
    0.87
     Than
    0.84
     nightmare
    0.82
     nightmares
    0.80
    nces
    0.75
     suited
    0.75
     undermin
    0.75
     worse
    0.74
    Activations Density 0.009%

    No Known Activations