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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. 3765
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    Explanations

    organizations or specific locations mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    references to various organizations and institutions

    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
    è£ħ
    -0.61
    JM
    -0.53
     Proud
    -0.52
    ERG
    -0.52
    upper
    -0.51
    Student
    -0.50
    ieu
    -0.50
    iatus
    -0.49
    ratom
    -0.49
    WARD
    -0.48
    POSITIVE LOGITS
     etc
    0.98
     notwithstanding
    0.61
    ).[
    0.57
     TBA
    0.54
     plat
    0.53
     blah
    0.53
     thereof
    0.52
     versa
    0.50
     extraord
    0.50
    00200000
    0.48
    Activations Density 1.060%

    No Known Activations