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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. 11-RES-JB
    11. 11857
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    Explanations

    phrases that emphasize the uniqueness or significance of something within a certain category or context

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities or attributes related to specific groups or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Jump
    -0.60
    sburg
    -0.59
     Wor
    -0.58
    vich
    -0.57
    ļéĨĴ
    -0.56
    oking
    -0.55
    FORE
    -0.52
    Adds
    -0.52
     Memories
    -0.52
    win
    -0.52
    POSITIVE LOGITS
     kind
    1.84
     type
    1.52
     sort
    1.51
     kinds
    1.38
    kind
    1.26
     caliber
    1.25
     sorts
    1.24
    Kind
    1.19
    type
    1.17
     types
    1.14
    Activations Density 0.102%

    No Known Activations