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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. 11610
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    Explanations

    words related to pretentious or false behavior

    oai_token-act-pair · gpt-3.5-turbo

    words related to pretense or superficiality

    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
     "$:/
    -0.66
     Pulse
    -0.66
    20439
    -0.65
    hower
    -0.64
     Slide
    -0.64
    stocks
    -0.63
     watershed
    -0.58
     Ferry
    -0.57
    tips
    -0.57
    SHIP
    -0.57
    POSITIVE LOGITS
    entious
    1.52
    ensions
    1.51
    ension
    1.42
    reatment
    1.30
    zel
    1.29
    ense
    1.20
    inent
    1.19
    reated
    1.15
    enses
    1.15
    reating
    1.15
    Activations Density 0.018%

    No Known Activations