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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. 5804
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    Explanations

    specific mentions of T-shirts with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    references to T-shirts

    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
    wagen
    -0.71
     thor
    -0.68
     rounding
    -0.65
    theless
    -0.65
     cannabin
    -0.64
     pseud
    -0.63
     hobbies
    -0.59
     ment
    -0.58
     Marian
    -0.58
    EStream
    -0.58
    POSITIVE LOGITS
    ribute
    1.43
    ARGET
    1.36
    akedown
    1.33
    olerance
    1.24
    rolley
    1.21
    ourney
    1.20
    ributes
    1.19
    ractor
    1.19
    ARDIS
    1.18
    URN
    1.18
    Activations Density 0.047%

    No Known Activations