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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. 6-RES-JB
    11. 9838
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    Explanations

    expressions indicating emphasis or explanation

    oai_token-act-pair · gpt-3.5-turbo

    statements or phrases that define or assert the existence of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    luaj
    -0.77
    bies
    -0.72
    mons
    -0.63
    itches
    -0.62
    cies
    -0.61
    dit
    -0.59
     mish
    -0.59
     prospects
    -0.59
     Hyder
    -0.58
     fortunes
    -0.58
    POSITIVE LOGITS
    rael
    0.79
    nt
    0.78
    ylum
    0.76
    ĺħ
    0.70
    hemy
    0.70
     defin
    0.69
    olation
    0.68
     NOT
    0.68
    LAN
    0.67
     reflected
    0.65
    Activations Density 0.087%

    No Known Activations