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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5321
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    Explanations

    phrases related to laying down or establishing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to laying foundations or groundwork, both literally and metaphorically

    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
     Cosponsors
    -0.80
    catentry
    -0.76
    ilant
    -0.65
    taboola
    -0.64
    arson
    -0.63
    vill
    -0.63
    xy
    -0.63
     SB
    -0.62
     Holo
    -0.61
    ovi
    -0.61
    POSITIVE LOGITS
     groundwork
    1.05
     foundations
    0.94
     foundation
    0.85
    wn
    0.73
     sheets
    0.69
     rubble
    0.68
     scars
    0.67
     tracks
    0.67
     asphalt
    0.67
     roots
    0.66
    Activations Density 0.103%

    No Known Activations