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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. 18543
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    words related to protection and safeguarding

    oai_token-act-pair · gpt-3.5-turbo

    terms related to protection and safeguarding

    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
    dozen
    -0.76
     Kinn
    -0.74
    orne
    -0.72
    ¶æ
    -0.71
    OTA
    -0.70
    Lenin
    -0.67
    ©¶æ
    -0.65
    cow
    -0.65
    âĤ¬
    -0.65
    represented
    -0.64
    POSITIVE LOGITS
     coating
    0.95
     waterproof
    0.87
     warmth
    0.87
     embr
    0.85
    ively
    0.84
     hardness
    0.83
    ailability
    0.82
     buildup
    0.82
     digestion
    0.81
     absor
    0.80
    Activations Density 0.103%

    No Known Activations