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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. 21588
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    Explanations

    mentions of violations or alleged violations of rules, laws, or rights

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "violate" and its variations in the context of laws and rights

    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
    mad
    -0.86
    onna
    -0.81
    venture
    -0.76
    FORE
    -0.75
    tis
    -0.73
    rich
    -0.70
    timer
    -0.69
    rition
    -0.68
    committee
    -0.66
    abs
    -0.66
    POSITIVE LOGITS
    orius
    0.89
     unfocusedRange
    0.82
     orders
    0.75
     curfew
    0.74
     Nielsen
    0.73
     confidentiality
    0.73
    ingly
    0.71
     compliance
    0.71
    İĭ
    0.70
     violations
    0.69
    Activations Density 0.099%

    No Known Activations