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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. 11-RES-JB
    11. 6754
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    Explanations

    action words related to starting or initiating a process

    oai_token-act-pair · gpt-3.5-turbo

    words related to the initiation of actions or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    warts
    -0.91
    itably
    -0.76
    aughs
    -0.74
    pedia
    -0.70
    cko
    -0.70
    uably
    -0.68
    pter
    -0.66
    illions
    -0.65
     dstg
    -0.65
    icators
    -0.65
    POSITIVE LOGITS
     distributing
    1.17
     compiling
    1.11
     preparations
    1.10
     collecting
    1.10
     issuing
    1.09
     interviewing
    1.09
     digging
    1.09
     accepting
    1.08
     fielding
    1.08
     assembling
    1.08
    Activations Density 0.095%

    No Known Activations