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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. 12-RES-JB
    11. 2480
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    Explanations

    phrases related to different locations or settings

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    phrases indicating exclusivity or uniqueness in a location or context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    rations
    -0.76
    rett
    -0.70
    76561
    -0.69
    estamp
    -0.68
    urated
    -0.66
    icer
    -0.65
    eme
    -0.64
    stood
    -0.62
    alion
    -0.61
    prem
    -0.61
    POSITIVE LOGITS
     else
    1.66
    abouts
    1.21
     Else
    1.14
     near
    1.13
    where
    1.00
    Else
    0.99
    else
    0.97
    near
    0.97
     nearby
    0.87
     except
    0.84
    Activations Density 0.060%

    No Known Activations