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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. 0-RES-JB
    11. 16889
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    Explanations

    phrases related to negative emotions or suffering

    oai_token-act-pair · gpt-3.5-turbo

    expressions of suffering and hardship

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     recognizing
    -0.72
    recomm
    -0.72
     antiv
    -0.72
    poke
    -0.69
    estic
    -0.67
     newer
    -0.67
     Balanced
    -0.66
    Accept
    -0.65
     appropriate
    -0.65
     Intercept
    -0.63
    POSITIVE LOGITS
     misery
    2.76
     agony
    2.17
     miserable
    2.17
     plight
    2.06
     woes
    2.05
     anguish
    1.82
     unhappy
    1.76
     predicament
    1.71
     torment
    1.69
     wretched
    1.65
    Activations Density 0.038%

    No Known Activations