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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
    11. 23101
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    Explanations

    adverbs ending in "-ly" that modify the intensity of an action or adjective

    oai_token-act-pair · gpt-3.5-turbo

    adverbs that describe intensity or manner

    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
    ilater
    -0.88
    afety
    -0.79
     respectively
    -0.76
     hemor
    -0.75
     GOODMAN
    -0.71
     canvas
    -0.71
    irlf
    -0.70
    ËĪ
    -0.66
    ERA
    -0.64
    natureconservancy
    -0.63
    POSITIVE LOGITS
    puff
    0.93
    rics
    0.88
    zed
    0.87
    tics
    0.83
    sis
    0.76
    pha
    0.75
    aqu
    0.73
    akia
    0.73
    zza
    0.72
    ffe
    0.71
    Activations Density 0.031%

    No Known Activations