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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. 6-RES-JB
    11. 5548
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    Explanations

    email addresses with specific patterns

    oai_token-act-pair · gpt-3.5-turbo

    email addresses and contact information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scheme
    -0.86
     Passive
    -0.86
     Warning
    -0.84
     Pressure
    -0.82
     Thunderbolt
    -0.82
     Decay
    -0.81
     Kut
    -0.81
     Enabled
    -0.81
     Ninth
    -0.81
     Scale
    -0.80
    POSITIVE LOGITS
    @
    1.05
    iverpool
    1.04
    mc
    0.94
    christ
    0.94
    olson
    0.92
     americ
    0.91
    anders
    0.90
    yond
    0.90
    podcast
    0.90
    izabeth
    0.90
    Activations Density 0.435%

    No Known Activations