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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. 1-RES-JB
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    Explanations

    the word "perpetrator" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to perpetrators and their actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    psey
    -0.69
    aver
    -0.69
    ear
    -0.67
     Plat
    -0.67
    zl
    -0.64
     fly
    -0.62
    andel
    -0.62
    ARY
    -0.62
     Wolver
    -0.61
    aul
    -0.61
    POSITIVE LOGITS
     perpetrator
    1.04
     perpetrated
    1.01
     perpetrators
    1.00
     offenders
    0.82
     culprit
    0.80
    ãĥ¼ãĥĨãĤ£
    0.79
    nown
    0.78
     offender
    0.76
     abused
    0.74
    ãĥĨ
    0.73
    Activations Density 0.008%

    No Known Activations