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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. 3839
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    Explanations

    the phrase "last but not least"

    oai_token-act-pair · gpt-3.5-turbo

    phrases or references indicating a sequence or conclusion

    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
    oyal
    -0.62
    ateur
    -0.55
    =-=-=-=-
    -0.52
    usercontent
    -0.50
     indiscrim
    -0.49
    ãĤ¸
    -0.49
    conserv
    -0.49
    plus
    -0.48
    virt
    -0.48
    IUM
    -0.47
    POSITIVE LOGITS
    jri
    0.66
    cember
    0.57
    ]=
    0.57
    thouse
    0.56
    imester
    0.53
    Initialized
    0.51
    endment
    0.50
     Caldwell
    0.50
    ozo
    0.49
    inent
    0.48
    Activations Density 1.223%

    No Known Activations