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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. 3-RES-JB
    11. 16108
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    Explanations

    phrases related to specifying or referencing something

    oai_token-act-pair · gpt-3.5-turbo

    multi-word phrases, particularly those that include "that."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vaugh
    -0.60
     srfAttach
    -0.60
     disadvant
    -0.59
     Seym
    -0.55
    emale
    -0.55
    chuk
    -0.55
     helicop
    -0.54
     Moroc
    -0.53
     challeng
    -0.53
    æµ
    -0.53
    POSITIVE LOGITS
    ANS
    0.49
     largeDownload
    0.49
    ctive
    0.47
     Entered
    0.46
     ROCK
    0.46
     âĢº
    0.45
     DRAGON
    0.43
    izzard
    0.42
    mosp
    0.42
    osures
    0.42
    Activations Density 1.808%

    No Known Activations