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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. 710
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    Explanations

    phrases indicating a change or development over time

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a process of change or transformation

    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
    claimer
    -0.77
    bal
    -0.60
     grouping
    -0.59
    oot
    -0.58
     laun
    -0.58
    eka
    -0.58
    croft
    -0.58
     artic
    -0.58
    heim
    -0.56
     logo
    -0.56
    POSITIVE LOGITS
     steadily
    0.73
    lass
    0.71
     inex
    0.70
    lins
    0.68
    Edge
    0.68
     irreversible
    0.66
    oris
    0.65
    bish
    0.65
    inventoryQuantity
    0.65
     increasingly
    0.62
    Activations Density 0.281%

    No Known Activations