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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. 10077
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    Explanations

    email-related phrases prompting for re-entering information

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to entering information, especially in a digital context

    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
    estic
    -0.72
    emo
    -0.66
    auld
    -0.64
     backdrop
    -0.57
    gran
    -0.56
    ometimes
    -0.55
    BALL
    -0.54
     photographers
    -0.53
    rolog
    -0.52
     poetic
    -0.52
    POSITIVE LOGITS
    prise
    1.22
    prises
    1.00
    tainment
    0.97
    oslov
    0.80
     isEnabled
    0.68
     Latvia
    0.67
    ICLE
    0.67
    ainment
    0.64
     login
    0.62
    ãĤ®
    0.61
    Activations Density 0.010%

    No Known Activations