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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. 127
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    Explanations

    pronouns related to the previous context

    oai_token-act-pair · gpt-3.5-turbo

    references to items, actions, or concepts typically associated with lists or collections

    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
     Scarlet
    -0.66
     Americas
    -0.60
     Golden
    -0.59
    Temperature
    -0.58
     USA
    -0.58
     Mans
    -0.57
    WAR
    -0.57
    Mach
    -0.57
    tur
    -0.57
     Baron
    -0.56
    POSITIVE LOGITS
     nonetheless
    1.04
     anyway
    1.03
     anyways
    0.98
    atically
    0.96
    alian
    0.94
     accordingly
    0.89
     separately
    0.88
    theless
    0.82
     ASAP
    0.81
     differently
    0.79
    Activations Density 0.302%

    No Known Activations