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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. 3-RES-JB
    11. 22912
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    Explanations

    references to specific organizations and associations, particularly those related to sports and government services

    oai_token-act-pair · gpt-3.5-turbo

    references to various national organizations and associations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sidx
    -0.82
    idious
    -0.67
    bye
    -0.66
    hillary
    -0.64
    Sov
    -0.64
    GF
    -0.63
     Canaver
    -0.62
    tro
    -0.61
    called
    -0.60
    conv
    -0.60
    POSITIVE LOGITS
    ictionary
    0.88
    QL
    0.76
    omial
    0.73
     Refuge
    0.71
    SPA
    0.71
    ernel
    0.70
    ensical
    0.69
    ufact
    0.68
    ailability
    0.67
    ombat
    0.65
    Activations Density 0.103%

    No Known Activations