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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. 10406
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    Explanations

    phrases related to the concept of a "pent" or "pentagon"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "pent" in various contexts

    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
    ãģĦ
    -0.85
    OAD
    -0.65
    士
    -0.65
     Combine
    -0.63
     modification
    -0.60
     Shake
    -0.59
     flourish
    -0.58
     disabling
    -0.58
    ISSION
    -0.57
     tune
    -0.57
    POSITIVE LOGITS
    agon
    1.30
    agram
    1.24
    agonal
    1.19
    obar
    1.18
    othal
    1.08
    acles
    1.07
    agons
    1.06
    acle
    1.03
    house
    1.02
    athlon
    1.02
    Activations Density 0.024%

    No Known Activations