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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. 1059
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    references to "Lane 9."

    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
     Qué
    -0.65
     Typh
    -0.64
     convention
    -0.61
     collect
    -0.61
     programming
    -0.60
     constitution
    -0.60
     dj
    -0.60
     treaty
    -0.60
     republic
    -0.59
     artifact
    -0.58
    POSITIVE LOGITS
     Lane
    4.16
    lane
    2.12
     lane
    2.00
     lanes
    1.48
     Alley
    1.24
     Parkway
    1.21
     Road
    1.15
     Lear
    1.12
     Oaks
    1.05
     Boulevard
    1.03
    Activations Density 0.016%

    No Known Activations