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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. 10-RES-JB
    11. 5791
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    Explanations

    words ending in '-ing'

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Columb
    -0.70
     uncond
    -0.63
     captcha
    -0.63
    ãĥŀ
    -0.59
    ãĥ¯ãĥ³
    -0.59
     impart
    -0.59
    ãĥ
    -0.57
    Interested
    -0.56
     forfeiture
    -0.55
     VICE
    -0.55
    POSITIVE LOGITS
    redients
    1.38
    lass
    1.23
    lasses
    1.13
    tons
    1.10
    apore
    1.10
    rab
    1.09
    roup
    1.08
    hetti
    1.06
    rill
    1.04
    ua
    1.03
    Activations Density 0.058%

    No Known Activations