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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. 3-RES-JB
    11. 4299
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    Explanations

    phrases related to physical actions like 'hold back', 'hold up', 'hold down'

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to restraint or limitations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Ĥİ
    -0.75
     <-
    -0.72
    ²¾
    -0.72
    Ħ¢
    -0.69
    issance
    -0.66
    swick
    -0.64
    γ
    -0.64
     Kinnikuman
    -0.63
    eno
    -0.63
    £ı
    -0.62
    POSITIVE LOGITS
    olean
    0.77
    erness
    0.70
     licence
    0.69
     veto
    0.68
    hold
    0.67
     reins
    0.66
     bounds
    0.66
     clipboard
    0.66
     ransom
    0.65
     hostage
    0.64
    Activations Density 0.199%

    No Known Activations