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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. 12-RES-JB
    11. 3950
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    Explanations

    people's names or entities in financial or economic contexts

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    names of people and their associated initials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     confir
    -0.75
     Rece
    -0.66
     warr
    -0.64
    ACTED
    -0.62
     attm
    -0.61
     VID
    -0.60
     EDITION
    -0.60
     NX
    -0.59
     arrang
    -0.59
     OMG
    -0.59
    POSITIVE LOGITS
    mart
    0.74
    ager
    0.72
    orno
    0.67
    order
    0.67
    izza
    0.66
    ech
    0.64
    map
    0.62
    agers
    0.61
    Desk
    0.61
    cre
    0.61
    Activations Density 0.095%

    No Known Activations