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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. 7-RES-JB
    11. 19365
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    INDEX
    Explanations

    expressions indicating a comparison of a current situation to a previous one

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "around" and its variations, indicating focus on themes of change or context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pload
    -0.68
    lez
    -0.66
    adena
    -0.64
    oft
    -0.64
    pmwiki
    -0.63
    sites
    -0.61
     Stall
    -0.60
    rig
    -0.59
    anson
    -0.59
    NES
    -0.58
    POSITIVE LOGITS
     thereafter
    0.68
    ãĢĤ
    0.66
     recons
    0.65
     Remastered
    0.64
    forth
    0.64
     recite
    0.61
    ,''
    0.60
     recomm
    0.60
     deterior
    0.60
     âĢ
    0.59
    Activations Density 0.115%

    No Known Activations