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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. 4903
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    Explanations

    phrases related to the use of technology and innovation

    oai_token-act-pair · gpt-3.5-turbo

    the word "have" in various contexts

    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
    eem
    -0.76
     behold
    -0.67
    etting
    -0.64
    atin
    -0.62
    arter
    -0.61
     Pair
    -0.61
    cus
    -0.60
    dc
    -0.60
    MAC
    -0.59
    ti
    -0.59
    POSITIVE LOGITS
     been
    1.50
    been
    1.30
     undergone
    1.14
     become
    1.09
     gotten
    1.07
     Been
    1.06
     begun
    1.05
     gone
    0.98
     arisen
    0.98
     risen
    0.95
    Activations Density 0.251%

    No Known Activations