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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. 7-RES-JB
    11. 10978
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    Explanations

    hyphenated compound words

    oai_token-act-pair · gpt-3.5-turbo

    phrases containing the term "hard" in various contexts related to challenges or difficulties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulhu
    -0.85
    ICAN
    -0.75
    66666666
    -0.71
    ADRA
    -0.70
     guiActiveUn
    -0.70
    EMENT
    -0.70
     Wonderland
    -0.70
     Phi
    -0.69
    ICLE
    -0.69
    DragonMagazine
    -0.68
    POSITIVE LOGITS
    hitting
    1.26
    coded
    1.14
    bodied
    1.12
    sounding
    1.10
    charging
    1.07
    hearted
    1.05
    pressed
    1.02
    earned
    1.02
    faced
    1.01
    won
    0.98
    Activations Density 0.025%

    No Known Activations