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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. 4-RES-JB
    11. 13076
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    Explanations

    mentions of the location "Douro river"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Douro River

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ocene
    -0.90
     IST
    -0.85
     guiActiveUnfocused
    -0.85
    opathy
    -0.76
    ocamp
    -0.72
    Downloadha
    -0.70
    ĸļ
    -0.69
    akeru
    -0.68
    ãĥķãĤ©
    -0.67
     Equip
    -0.64
    POSITIVE LOGITS
    bles
    1.18
    bled
    1.14
    bling
    1.12
    plet
    1.00
    blers
    0.98
    bt
    0.94
    bler
    0.92
    leans
    0.89
    pee
    0.89
    quet
    0.87
    Activations Density 0.008%

    No Known Activations