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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. 9636
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    Explanations

    phrases indicating rules or regulations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "shall" indicating intent or future actions

    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
     CTR
    -0.60
    plex
    -0.60
    fox
    -0.56
    multiple
    -0.56
    Jet
    -0.55
    umat
    -0.55
     Diamond
    -0.55
    ugar
    -0.53
    crazy
    -0.53
    zanne
    -0.52
    POSITIVE LOGITS
     shall
    3.39
    shall
    2.83
     SHALL
    2.58
     Shall
    2.17
     shalt
    1.85
     hereby
    1.42
     hath
    1.24
     MUST
    1.21
     will
    1.17
     must
    1.17
    Activations Density 0.020%

    No Known Activations