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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. 5068
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    Explanations

    web and social media-related content, as well as personal and company names

    oai_token-act-pair · gpt-3.5-turbo

    references to social media interactions and engagement

    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
     colours
    -0.71
     £
    -0.58
    igslist
    -0.57
    士
    -0.57
     realise
    -0.56
     tyres
    -0.55
    åĤ
    -0.55
     Colors
    -0.54
     Gau
    -0.54
    iors
    -0.53
    POSITIVE LOGITS
    Follow
    0.85
     POLITICO
    0.77
    inion
    0.76
     UNCLASSIFIED
    0.71
     CNBC
    0.71
    Lind
    0.70
    COR
    0.70
    weeney
    0.68
     HuffPost
    0.66
    obin
    0.66
    Activations Density 0.301%

    No Known Activations