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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12493
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    Explanations

    information related to crime incidents and arrests

    oai_token-act-pair · gpt-3.5-turbo

    information related to arrests and crime reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ku
    -0.82
    Myth
    -0.73
    sometimes
    -0.66
    icult
    -0.66
    yt
    -0.66
    Think
    -0.65
     tru
    -0.63
    kt
    -0.63
    Pinterest
    -0.62
    pse
    -0.61
    POSITIVE LOGITS
     whatsoever
    1.15
     wrongdoing
    0.97
     nor
    0.92
    arnaev
    0.89
    nor
    0.81
     confir
    0.79
     detectable
    0.79
     except
    0.78
     authorized
    0.76
     markings
    0.75
    Activations Density 0.372%

    No Known Activations