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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. 10116
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    Explanations

    phrases related to criminal activities and investigations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly in contexts involving investigation or reports of events

    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
    ibaba
    -0.87
    liga
    -0.79
    fulness
    -0.75
    ventions
    -0.74
    ciation
    -0.70
    chemy
    -0.70
    recy
    -0.68
    flows
    -0.67
    washing
    -0.67
     Leilan
    -0.67
    POSITIVE LOGITS
     deceased
    1.27
     Dalai
    1.19
     youngest
    1.16
     Clintons
    1.08
     eldest
    1.07
     aforementioned
    1.03
     murderer
    1.00
     perpetrator
    0.96
     perpetrators
    0.95
     accuser
    0.95
    Activations Density 0.408%

    No Known Activations