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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. 7-RES-JB
    11. 23446
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    terday
    -0.81
     Leilan
    -0.67
    IDENT
    -0.66
    staking
    -0.66
    ensional
    -0.66
     inadequ
    -0.60
     calculus
    -0.59
    birth
    -0.59
    PRES
    -0.58
    wcs
    -0.57
    POSITIVE LOGITS
    gers
    1.25
    roup
    1.20
    glers
    1.18
    roups
    1.17
    allery
    1.12
    gy
    1.11
    ues
    1.08
    raphic
    1.06
    lio
    1.00
    raphics
    0.99
    Activations Density 0.027%

    No Known Activations