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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. 2-RES-JB
    11. 6541
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    Explanations

    phrases related to motivation or positive impact

    oai_token-act-pair · gpt-3.5-turbo

    terms related to inspiration and motivation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Goo
    -0.75
     Nanto
    -0.74
    pora
    -0.73
    secution
    -0.64
    arent
    -0.64
    miah
    -0.63
     unrecogn
    -0.63
    hedon
    -0.63
    iu
    -0.62
    sterdam
    -0.60
    POSITIVE LOGITS
     inspire
    1.00
     inspiring
    0.96
     inspires
    0.95
     Insp
    0.81
    iration
    0.79
     sparks
    0.76
     inspiration
    0.73
    rade
    0.71
    rament
    0.71
    rities
    0.71
    Activations Density 0.014%

    No Known Activations