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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
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    Explanations

    words related to pests and nuisances in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to pests and pest-related issues

    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
    ifting
    -0.74
    ifted
    -0.74
    earchers
    -0.73
    blance
    -0.73
    ifts
    -0.70
    sung
    -0.69
     Jazeera
    -0.69
    izons
    -0.69
    partial
    -0.66
    aders
    -0.64
    POSITIVE LOGITS
     pest
    1.18
     pests
    0.92
     stalking
    0.77
    icult
    0.75
     catcher
    0.74
     extermin
    0.73
     ridden
    0.72
    ãĥ¼ãĥĨ
    0.72
     mosquit
    0.69
    oise
    0.68
    Activations Density 0.007%

    No Known Activations