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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. 10-RES-JB
    11. 5032
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    Explanations

    strongly negative or critical words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    negative descriptors or terms related to criticism and issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DH
    -0.62
     Masquerade
    -0.62
     BMC
    -0.60
    ttes
    -0.59
     Aires
    -0.58
    querque
    -0.58
     ANGEL
    -0.58
     Decker
    -0.58
     Flickr
    -0.58
     Eliot
    -0.57
    POSITIVE LOGITS
    ificantly
    1.11
    %"
    1.11
    udicrous
    1.09
    stantial
    1.01
    withstanding
    0.98
    actly
    0.97
    initely
    0.97
    seless
    0.96
    icious
    0.95
    redible
    0.94
    Activations Density 0.142%

    No Known Activations