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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. 20742
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    Explanations

    references to original versions or iterations of items or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to "original" and "old" content or concepts across various contexts

    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
     ILCS
    -0.87
    ificantly
    -0.75
    ographics
    -0.74
    illation
    -0.73
    %%%%
    -0.72
    urches
    -0.72
    ombs
    -0.72
    haps
    -0.71
    oso
    -0.71
    oppable
    -0.71
    POSITIVE LOGITS
     assumption
    0.90
     era
    0.85
     slate
    0.82
     batch
    0.81
     version
    0.81
     incarnation
    0.80
     occupant
    0.78
     edition
    0.78
     conception
    0.78
     iteration
    0.77
    Activations Density 0.096%

    No Known Activations