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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. 13497
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    Explanations

    words related to news articles, such as names, locations, and action verbs

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their surrounding contextual phrases

    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
    ãģ®é
    -0.63
    tons
    -0.61
    frog
    -0.58
    icent
    -0.56
    ================================
    -0.56
    cuts
    -0.56
    xual
    -0.56
    Steam
    -0.53
    tml
    -0.53
    arde
    -0.53
    POSITIVE LOGITS
    ogh
    0.67
    eway
    0.64
     Reconstruction
    0.59
    eways
    0.59
     ï
    0.59
     Related
    0.58
    igham
    0.58
    ixture
    0.58
    URES
    0.57
    azed
    0.55
    Activations Density 0.205%

    No Known Activations