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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. 4-RES-JB
    11. 18456
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    Explanations

    keywords related to significant events or developments

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "comes," indicating a focus on events, developments, or announcements

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

    No Comments

    Negative Logits
    raid
    -0.94
    ricular
    -0.90
    illusion
    -0.87
    ²¾
    -0.86
    icon
    -0.86
    ulty
    -0.83
    olor
    -0.80
    ikhail
    -0.79
    urse
    -0.76
    hedon
    -0.76
    POSITIVE LOGITS
     undone
    1.13
     ashore
    0.84
     forth
    0.80
     forward
    0.76
     out
    0.75
     closer
    0.74
     pouring
    0.74
     WRITE
    0.71
     roaring
    0.71
     dangerously
    0.69
    Activations Density 0.079%

    No Known Activations