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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. 4-RES-JB
    11. 4222
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    INDEX
    Explanations

    negative adjectives related to emotions or conditions

    oai_token-act-pair · gpt-3.5-turbo

    negative descriptors related to poor quality of life or conditions

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

    No Comments

    Negative Logits
    encers
    -0.84
    ovember
    -0.83
    leans
    -0.82
    iers
    -0.77
    ioch
    -0.77
    icipated
    -0.75
    ortium
    -0.75
    encer
    -0.75
    orthy
    -0.75
    omen
    -0.74
    POSITIVE LOGITS
     miserable
    0.93
     misery
    0.76
     Despair
    0.74
     nightmare
    0.73
     Goods
    0.70
     miser
    0.70
     rubbish
    0.69
     excuses
    0.67
     wretched
    0.67
    bage
    0.67
    Activations Density 0.032%

    No Known Activations