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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. 7-RES-JB
    11. 358
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    Explanations

    mentions of input in technical contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to inputs in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seraph
    -0.75
    BuyableInstoreAndOnline
    -0.67
    astern
    -0.64
     Crusade
    -0.62
     Apart
    -0.62
    llan
    -0.62
    esa
    -0.61
    wordpress
    -0.61
     resil
    -0.61
     Wrath
    -0.60
    POSITIVE LOGITS
    ted
    1.13
    ting
    1.02
    ters
    0.95
     inputs
    0.91
     input
    0.86
    enza
    0.81
     validation
    0.75
    ifferent
    0.73
     fields
    0.73
    ierrez
    0.73
    Activations Density 0.023%

    No Known Activations