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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. 2-RES-JB
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    Explanations

    words ending with the specific pattern "om" followed by a high activation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "om"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ++++++++++++++++
    -0.71
    LIST
    -0.66
     Masquerade
    -0.66
     Brees
    -0.63
     Kindle
    -0.61
     whatever
    -0.60
     Border
    -0.60
    ãĥ¼ãĤ¯
    -0.60
     CLR
    -0.60
     Idle
    -0.59
    POSITIVE LOGITS
    otive
    1.14
    obile
    1.14
    puter
    1.14
    atoes
    1.07
    otor
    1.06
    orrow
    1.06
    opter
    1.06
    pson
    1.03
    useum
    1.01
    ulus
    1.01
    Activations Density 0.015%

    No Known Activations