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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. 2-RES-JB
    11. 14007
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    Explanations

    words ending with specific strings such as "aster", "ase", "VER", "IGHT", "ure", "AST", "ACH", "lev", "ure", "ka", "ager", "ston", "yes", "gg", "ver", ".g"

    oai_token-act-pair · gpt-3.5-turbo

    words or abbreviations related to specific terms or titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anova
    -0.80
    wat
    -0.61
    VW
    -0.59
    bg
    -0.59
     ingred
    -0.58
    cpu
    -0.58
    cmp
    -0.58
    Fu
    -0.56
    natureconservancy
    -0.56
    ItemThumbnailImage
    -0.56
    POSITIVE LOGITS
    tainment
    0.79
    ascript
    0.76
    hower
    0.74
    ionage
    0.70
    ghan
    0.68
    ogy
    0.68
     coli
    0.67
    911
    0.67
    prise
    0.65
     ditch
    0.65
    Activations Density 0.175%

    No Known Activations