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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. 9320
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to space and its various contexts

    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
     Marketable
    -0.70
    rahim
    -0.68
    govtrack
    -0.66
    oola
    -0.65
     jug
    -0.64
    Lenin
    -0.62
     Zac
    -0.62
    uca
    -0.61
    GGGG
    -0.61
    hower
    -0.60
    POSITIVE LOGITS
    ioxide
    1.07
    obos
    0.82
     continuum
    0.79
    ãĤ¼ãĤ¦ãĤ¹
    0.79
     markers
    0.64
    etry
    0.63
     centrif
    0.61
    opolis
    0.60
     microscope
    0.60
    modules
    0.60
    Activations Density 0.252%

    No Known Activations