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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. 11-RES-JB
    11. 12412
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    Explanations

    phrases related to actions and processes, especially in the context of various industries

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "to be" and its variations across different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çīĪ
    -0.83
    teness
    -0.72
    osate
    -0.70
     Nope
    -0.69
     Pinball
    -0.68
    inous
    -0.66
    shire
    -0.64
     Dragonbound
    -0.64
     Splash
    -0.64
    ardon
    -0.63
    POSITIVE LOGITS
     handled
    1.39
     structured
    1.35
     progressing
    1.18
     polic
    1.13
     impacting
    1.11
     shaping
    1.11
     perceived
    1.11
     portrayed
    1.10
     interpreted
    1.10
     treated
    1.08
    Activations Density 0.100%

    No Known Activations