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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. 9-RES-JB
    11. 16244
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    Explanations

    phrases instructing or advising someone to take a specific action

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "be" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     reconstruction
    -0.66
    regation
    -0.65
     viz
    -0.65
    kHz
    -0.63
     distortion
    -0.62
     Osc
    -0.61
    geries
    -0.60
    regate
    -0.60
    ysis
    -0.59
    PsyNetMessage
    -0.58
    POSITIVE LOGITS
     careful
    1.23
     wary
    1.18
     aware
    1.17
     mindful
    1.13
     thankful
    1.12
     sure
    1.10
     afraid
    1.03
     cautious
    1.01
    heading
    1.00
     able
    0.99
    Activations Density 0.068%

    No Known Activations