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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. 6-RES-JB
    11. 7875
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    Explanations

    phrases related to bringing up or mentioning something in a discussion or conversation

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "bring up."

    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
    mo
    -0.67
    Reviewed
    -0.66
    Dist
    -0.64
    mia
    -0.63
    RGB
    -0.61
    ________________________
    -0.60
    Blu
    -0.60
    arily
    -0.59
    eur
    -0.59
    Released
    -0.59
    POSITIVE LOGITS
     questions
    0.75
     topics
    0.71
     eyebrows
    0.70
    ruciating
    0.68
    adesh
    0.68
     amendments
    0.65
     concerns
    0.65
     QUEST
    0.65
    QUEST
    0.64
    osate
    0.64
    Activations Density 0.019%

    No Known Activations