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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. 6-RES-JB
    11. 18921
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    Explanations

    abbreviated terms related to different forms of media and visualization techniques

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various fields of visualization and graphical representation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ailability
    -0.92
     mosqu
    -0.70
    EStreamFrame
    -0.68
     uncont
    -0.66
     unrestricted
    -0.65
    APTER
    -0.64
     Skydragon
    -0.63
     uncond
    -0.63
    imar
    -0.62
    izons
    -0.62
    POSITIVE LOGITS
    lihood
    0.83
     depicting
    0.81
    advertisement
    0.77
    heet
    0.76
    nik
    0.75
    urally
    0.72
     thereof
    0.68
    ural
    0.68
     depicts
    0.67
    fab
    0.66
    Activations Density 0.246%

    No Known Activations