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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. 4-RES-JB
    11. 813
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    Explanations

    proper nouns and names

    oai_token-act-pair · gpt-3.5-turbo

    instances of the substring "ind" in words

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

    No Comments

    Negative Logits
     tremend
    -0.76
     pity
    -0.73
     litter
    -0.71
     blazing
    -0.67
     compr
    -0.66
    senal
    -0.65
     residences
    -0.64
    itton
    -0.63
    Ĥİ
    -0.63
    ategory
    -0.61
    POSITIVE LOGITS
    irect
    1.14
    icator
    1.09
    icative
    1.08
    erella
    1.03
    ebted
    1.01
    sight
    1.00
    ications
    0.99
    icators
    0.98
    ividually
    0.97
    ication
    0.91
    Activations Density 0.012%

    No Known Activations