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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. 11242
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    Explanations

    references to saving or saving features in games

    oai_token-act-pair · gpt-3.5-turbo

    terms related to saving and file management in the context of games or applications

    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
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    No Comments

    Negative Logits
    enberg
    -0.70
    naire
    -0.68
     Ascend
    -0.68
    ertodd
    -0.67
    RY
    -0.65
    Else
    -0.65
    xus
    -0.65
    geoning
    -0.64
    holes
    -0.63
     surrounds
    -0.63
    POSITIVE LOGITS
    Save
    0.86
    ters
    0.74
    éĹĺ
    0.74
    Instance
    0.74
    osit
    0.71
     luc
    0.66
    Dir
    0.65
     Upload
    0.64
    ressing
    0.64
    icted
    0.64
    Activations Density 0.027%

    No Known Activations