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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. 9-RES-JB
    11. 17424
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    Explanations

    terms related to summation, total, or accumulation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sum"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     livest
    -0.71
     Ferry
    -0.69
    çīĪ
    -0.66
     Kers
    -0.63
     fatty
    -0.58
     Militia
    -0.58
     embr
    -0.57
     Flint
    -0.56
     Founders
    -0.56
     Idle
    -0.56
    POSITIVE LOGITS
    ming
    1.46
    mers
    1.32
    mits
    1.22
    atra
    1.10
    mar
    1.01
    ptive
    0.99
    ption
    0.98
    mit
    0.97
    mons
    0.96
    mary
    0.91
    Activations Density 0.042%

    No Known Activations