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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. 10-RES-JB
    11. 742
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    INDEX
    Explanations

    phrases related to distress and negative emotions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotional distress and suffering

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awei
    -0.85
    arthed
    -0.84
    ospons
    -0.82
    irable
    -0.80
     favorably
    -0.79
    ensibly
    -0.77
     proficiency
    -0.74
     favourable
    -0.74
     Preferred
    -0.74
     advantageous
    -0.72
    POSITIVE LOGITS
     tears
    1.24
     helpless
    1.24
     numb
    1.20
     anguish
    1.20
     crying
    1.19
     agony
    1.18
     sob
    1.16
     cried
    1.15
     uncontroll
    1.15
     unbearable
    1.14
    Activations Density 0.584%

    No Known Activations