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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. 23204
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    conv
    -0.72
    igmat
    -0.71
    False
    -0.69
    omsky
    -0.65
    ophob
    -0.65
    essim
    -0.64
    mania
    -0.64
     unbeaten
    -0.63
    olerance
    -0.63
     Hallow
    -0.63
    POSITIVE LOGITS
     responsibilities
    1.30
     duties
    1.26
     chores
    1.20
     functions
    1.11
     overseeing
    1.10
     Functions
    1.09
     responsibility
    1.09
     tasks
    1.06
     subsystem
    1.06
     managerial
    1.04
    Activations Density 1.669%

    No Known Activations