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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. 9-RES-JB
    11. 14042
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    Explanations

    phrases related to technological devices and action verbs in present tense

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to technology and development

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    affer
    -0.73
    uana
    -0.70
    Ability
    -0.70
    phia
    -0.69
    mie
    -0.68
    voice
    -0.65
     Osw
    -0.65
    amus
    -0.65
    vine
    -0.64
    00200000
    -0.63
    POSITIVE LOGITS
     weddings
    1.17
     estates
    1.16
     empires
    1.15
     dictators
    1.14
     houses
    1.12
     chests
    1.11
     necks
    1.10
     campaigns
    1.08
     disasters
    1.08
     legislatures
    1.08
    Activations Density 1.380%

    No Known Activations