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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. 8-RES-JB
    11. 10210
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    Explanations

    phrases with a combination of numbers and specific keywords related to locations or actions

    oai_token-act-pair · gpt-3.5-turbo

    topics related to social issues and human rights

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     partName
    -0.61
    quickShipAvailable
    -0.56
     actionGroup
    -0.54
    tumblr
    -0.54
    autions
    -0.53
    ortun
    -0.53
    rists
    -0.51
    speak
    -0.50
    erd
    -0.50
    */(
    -0.49
    POSITIVE LOGITS
    .''.
    0.73
     amid
    0.61
    .</
    0.59
    .''
    0.58
    .�
    0.56
    thood
    0.53
    uana
    0.52
    .*
    0.52
    hene
    0.50
    *.
    0.50
    Activations Density 0.945%

    No Known Activations