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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. 9-RES-JB
    11. 8925
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    Explanations

    references to specific names or titles within sentences

    oai_token-act-pair · gpt-3.5-turbo

    instances of empty or non-contextual content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.56
    ______
    -0.55
     AMA
    -0.54
    ĻĤ
    -0.53
    issance
    -0.53
     *.
    -0.52
    assetsadobe
    -0.52
     ��������
    -0.52
    .............
    -0.51
    earance
    -0.51
    POSITIVE LOGITS
     intends
    0.61
     retains
    0.61
     has
    0.60
     concludes
    0.59
     recommends
    0.58
     decides
    0.58
     realizes
    0.57
     evaluates
    0.57
     wasn
    0.57
     wrote
    0.56
    Activations Density 0.684%

    No Known Activations