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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. 7739
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    Explanations

    words related to expressing clear and specific information

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases indicating clarity and decisiveness in communication

    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
    uel
    -0.59
    Stand
    -0.57
     stub
    -0.54
     haze
    -0.53
    ulhu
    -0.53
     mun
    -0.53
    IRE
    -0.53
     Expert
    -0.52
    ets
    -0.52
    hern
    -0.52
    POSITIVE LOGITS
     about
    1.22
     enough
    1.13
    about
    1.13
     ABOUT
    1.07
    enough
    0.98
     regarding
    0.94
     About
    0.93
    footed
    0.84
    ially
    0.82
     Regarding
    0.80
    Activations Density 0.169%

    No Known Activations