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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. 19003
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    Explanations

    keywords related to a broad range of topics or unspecified items referred to as "stuff"

    oai_token-act-pair · gpt-3.5-turbo

    references to unspecified or generic items

    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
    emale
    -0.70
    HCR
    -0.68
    deen
    -0.68
    vette
    -0.66
    uberty
    -0.63
    glas
    -0.62
     crest
    -0.62
    pent
    -0.61
    Shar
    -0.61
     Examination
    -0.60
    POSITIVE LOGITS
    bags
    1.05
     happens
    0.91
    hots
    0.91
     happening
    0.91
    bag
    0.84
    iness
    0.82
    ious
    0.80
    EMS
    0.79
    uits
    0.77
    y
    0.76
    Activations Density 0.030%

    No Known Activations