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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. 11-RES-JB
    11. 3830
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    Explanations

    phrases relating to actions that can be taken or possibilities for action

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to capability and actions that can be taken

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MFT
    -0.76
    inel
    -0.66
    abad
    -0.63
    angered
    -0.62
    Hay
    -0.57
    ioxide
    -0.57
     Travels
    -0.57
     flared
    -0.56
    tracks
    -0.56
     tremb
    -0.55
    POSITIVE LOGITS
     do
    1.47
     accomplish
    1.45
    do
    1.20
     done
    1.15
     achieve
    1.11
    Do
    1.10
     Do
    1.07
     doing
    1.06
     DO
    1.03
     accomplished
    0.99
    Activations Density 0.126%

    No Known Activations