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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. 5060
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    Explanations

    phrases related to updates and notifications

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

    phrases indicating permission and encouragement to engage freely

    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
     Hard
    -0.59
    orthy
    -0.56
    itant
    -0.55
    odan
    -0.55
    ob
    -0.54
    hard
    -0.53
    secut
    -0.53
    ega
    -0.52
    oug
    -0.52
     GHC
    -0.52
    POSITIVE LOGITS
    ILLE
    0.79
    usha
    0.74
    amine
    0.64
    estyles
    0.64
    NetMessage
    0.64
     Leilan
    0.62
    jri
    0.62
    rots
    0.61
    ENA
    0.61
    ky
    0.60
    Activations Density 0.247%

    No Known Activations