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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. 8-RES-JB
    11. 14547
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    Explanations

    words related to resources and capabilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases and concepts related to resources and capabilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ipple
    -0.76
    ection
    -0.71
    odge
    -0.70
    EEP
    -0.68
     Topic
    -0.68
    eatures
    -0.67
    ramid
    -0.66
    requently
    -0.65
     Parables
    -0.64
    aming
    -0.63
    POSITIVE LOGITS
     requisite
    0.89
     sufficient
    0.87
     manpower
    0.87
     available
    0.85
     necessary
    0.84
     spare
    0.82
     resources
    0.82
     needed
    0.81
     capacity
    0.80
    enough
    0.78
    Activations Density 0.258%

    No Known Activations