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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. 10474
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    Explanations

    specific combinations of letters and numbers, possibly related to programming or technical content

    oai_token-act-pair · gpt-3.5-turbo

    financial data and numbers related to economic transactions

    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
     Dad
    -0.62
     Barbar
    -0.61
     Goodbye
    -0.61
     Grind
    -0.61
     Coke
    -0.59
     Akin
    -0.57
     Mour
    -0.56
    chuk
    -0.54
     bulls
    -0.54
     Easter
    -0.53
    POSITIVE LOGITS
     encoding
    0.76
    channelAvailability
    0.73
    soType
    0.62
    initialized
    0.59
     translator
    0.58
    )-
    0.58
    BILITIES
    0.58
    phis
    0.57
    olin
    0.57
     :=
    0.56
    Activations Density 0.260%

    No Known Activations