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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. 2-RES-JB
    11. 19868
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    INDEX
    Explanations

    phrases related to detainment, confinement, and conditions of prisoners

    oai_token-act-pair · gpt-3.5-turbo

    references to detainees

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bc
    -0.84
    drive
    -0.67
     bye
    -0.66
    bye
    -0.66
    OPA
    -0.65
    spl
    -0.63
    dd
    -0.63
    NC
    -0.63
    jri
    -0.62
    ony
    -0.62
    POSITIVE LOGITS
     detainees
    1.22
     captives
    0.84
     detained
    0.83
     detainee
    0.82
    anamo
    0.82
     prisoners
    0.81
     detention
    0.78
     camps
    0.76
     facilities
    0.75
     inmates
    0.75
    Activations Density 0.011%

    No Known Activations