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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. 1-RES-JB
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    Explanations

    words related to the Pine tree, such as "Pine," "cones," and "pineapple."

    oai_token-act-pair · gpt-3.5-turbo

    references to "pine" and "pineapple," indicating a focus on these specific types of trees and fruits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.81
    hered
    -0.78
    Interstitial
    -0.73
    Fred
    -0.69
    Journal
    -0.69
    defined
    -0.68
    ðŁij
    -0.66
    HCR
    -0.64
    Dean
    -0.63
    Kate
    -0.63
    POSITIVE LOGITS
    phrine
    1.12
     pine
    1.11
     Pine
    1.05
    apple
    1.03
    cone
    0.96
     cones
    0.96
     cone
    0.89
     pineapple
    0.84
    stal
    0.83
    berry
    0.80
    Activations Density 0.005%

    No Known Activations