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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. 6-RES-JB
    6. 14740
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    Explanations

    the names of media or characters and the words "disambiguation."

    oai_token-act-pair · gpt-3.5-turbo

    prefixes and roots related to the concept of "disruption" or "discontinuity."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -0.69
     ."
    -0.64
    Dialogue
    -0.63
     ,"
    -0.61
    ifference
    -0.60
    schild
    -0.59
    è¦ļéĨĴ
    -0.58
    IELD
    -0.58
     Trace
    -0.57
     Meter
    -0.57
    POSITIVE LOGITS
    ?)
    1.26
    )
    1.26
    -)
    1.23
    )/
    1.21
    )[
    1.18
    )=
    1.17
    ?),
    1.15
    !),
    1.14
    )!
    1.13
    )'
    1.11
    Activations Density 0.173%

    No Known Activations