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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. 10-RES-JB
    11. 21613
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    Explanations

    references to brand names and company names

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "In"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.72
     pim
    -0.69
    etheless
    -0.69
     damned
    -0.67
     flagged
    -0.66
     lett
    -0.66
     vanquished
    -0.64
     certs
    -0.63
    theless
    -0.63
     disl
    -0.63
    POSITIVE LOGITS
    itialized
    1.41
    jection
    1.31
    jured
    1.24
    aug
    1.24
    gress
    1.22
    herent
    1.21
    flation
    1.19
    jected
    1.16
    vent
    1.15
    scription
    1.15
    Activations Density 0.051%

    No Known Activations