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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 8160
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    Explanations

    instances of adverbs modifying actions in the context of carefulness or caution

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "carefully."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ole
    -0.68
    Ang
    -0.68
    OTA
    -0.67
     Garfield
    -0.67
    anon
    -0.67
    SAY
    -0.66
    ces
    -0.66
     Seah
    -0.66
    SN
    -0.65
    uman
    -0.63
    POSITIVE LOGITS
     carefully
    0.97
    umenthal
    0.84
    izabeth
    0.82
     distingu
    0.81
     calibrated
    0.80
    ortment
    0.80
     calibr
    0.80
     scrutin
    0.79
     tailored
    0.77
    folios
    0.76
    Activations Density 0.011%

    No Known Activations