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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. 10257
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    Explanations

    mentions of government councils or committees

    oai_token-act-pair · gpt-3.5-turbo

    references to city councils and cathedrals

    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
     Purdue
    -0.78
     pas
    -0.69
     shake
    -0.69
     Supervisor
    -0.68
     sweep
    -0.67
     Wu
    -0.67
     Moons
    -0.67
     Shake
    -0.65
     tomat
    -0.65
     Roundup
    -0.64
    POSITIVE LOGITS
    avid
    1.86
     Cathedral
    1.47
    wolf
    1.36
    fur
    1.34
     Lumpur
    1.32
    vals
    1.26
     cathedral
    1.24
    cil
    1.24
    fox
    1.23
    lig
    1.00
    Activations Density 0.050%

    No Known Activations