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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    INDEX
    Explanations

    mentions of the word "Prison"

    oai_token-act-pair · gpt-3.5-turbo

    words related to incarceration or prisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icago
    -0.67
     buck
    -0.67
     Garmin
    -0.67
     credentials
    -0.65
     upl
    -0.65
     harmon
    -0.64
    AMD
    -0.64
     whit
    -0.64
     adapter
    -0.64
     bios
    -0.64
    POSITIVE LOGITS
     Prison
    3.98
    prison
    2.23
     Jail
    1.65
     Correctional
    1.61
     prisoner
    1.57
     prisoners
    1.41
     Detention
    1.38
     Asylum
    1.36
     prison
    1.25
     Corrections
    1.18
    Activations Density 0.017%

    No Known Activations