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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. 23804
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    Explanations

    invitations or opportunities to participate in events or initiatives

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to being part of a group or community

    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
     suspicions
    -0.69
     incomp
    -0.65
    ptoms
    -0.64
     inadequ
    -0.64
     residues
    -0.62
     unresolved
    -0.62
    gery
    -0.61
    phal
    -0.61
     loopholes
    -0.61
    encies
    -0.61
    POSITIVE LOGITS
    zos
    0.75
     Scouting
    0.73
    ourney
    0.71
    ardless
    0.70
     Raider
    0.70
     Protector
    0.69
    guard
    0.68
     Indigo
    0.66
    itialized
    0.64
    ointed
    0.64
    Activations Density 0.262%

    No Known Activations