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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. 17096
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    Explanations

    phrases related to news, announcements, and decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to significant announcements or cancellations

    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
    folios
    -0.83
    Qaida
    -0.70
    ospels
    -0.69
    raits
    -0.68
    roleum
    -0.66
    Texture
    -0.65
     Trails
    -0.65
     varieties
    -0.64
    Frameworks
    -0.64
    doi
    -0.64
    POSITIVE LOGITS
     decision
    1.06
     cancellation
    1.00
     announcement
    0.99
     reasoning
    0.96
     termination
    0.93
     fiasco
    0.92
     disappointment
    0.91
     debacle
    0.90
     mistake
    0.90
     setback
    0.90
    Activations Density 1.070%

    No Known Activations