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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. 7-RES-JB
    11. 3946
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    INDEX
    Explanations

    thoughts or visualizations related to anticipation or concern

    oai_token-act-pair · gpt-3.5-turbo

    thoughts and perceptions related to mental processes and reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     defic
    -0.74
    idelines
    -0.72
    Notable
    -0.70
    eworks
    -0.68
    taboola
    -0.68
    agers
    -0.68
     temper
    -0.67
    arten
    -0.67
     deviations
    -0.66
     objectionable
    -0.65
    POSITIVE LOGITS
     imagining
    0.79
     loneliness
    0.79
     knowing
    0.77
     remembering
    0.77
     solitude
    0.73
     waking
    0.71
     seeing
    0.70
     agony
    0.70
     feeling
    0.70
     typing
    0.70
    Activations Density 0.497%

    No Known Activations