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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. 7-RES-JB
    11. 5055
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    Explanations

    phrases related to enforcing rules or regulations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "impose" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sey
    -0.76
    obby
    -0.76
    razil
    -0.76
    wagen
    -0.76
    rous
    -0.75
    tes
    -0.73
    vironment
    -0.72
    jamin
    -0.71
    mpeg
    -0.70
    say
    -0.70
    POSITIVE LOGITS
     sanctions
    0.92
     punishments
    0.91
     stricter
    0.91
     liability
    0.87
     burdens
    0.86
     restrictions
    0.86
     harsher
    0.84
     imposition
    0.81
     unnecess
    0.80
     upon
    0.80
    Activations Density 0.046%

    No Known Activations