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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. 9-RES-JB
    11. 13088
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    Explanations

    phrases related to deliberate actions or plans to cause harm or disrupt

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to deliberate actions and security measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pru
    -0.63
    RELATED
    -0.62
     Downs
    -0.59
    elines
    -0.57
    Health
    -0.56
     Mayo
    -0.56
    dL
    -0.55
    Ire
    -0.54
    daq
    -0.54
    ',"
    -0.53
    POSITIVE LOGITS
    ↵Âł
    1.11
     Âł
    1.00
     ³³
    0.92
     ·
    0.91
     ]
    0.91
     doesnt
    0.90
     ..........
    0.90
    îĢ
    0.90
     ....
    0.90
     ][
    0.88
    Activations Density 0.921%

    No Known Activations