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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
    11. 22280
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    Explanations

    keywords related to criminal activities, specifically kidnapping

    oai_token-act-pair · gpt-3.5-turbo

    terms related to kidnapping and abduction

    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
    utenberg
    -0.91
    iquette
    -0.76
    gard
    -0.74
    alist
    -0.64
    ider
    -0.61
    urgy
    -0.61
     denomin
    -0.61
    cyclop
    -0.60
    ucc
    -0.60
    essim
    -0.60
    POSITIVE LOGITS
     kidnapped
    1.16
     abducted
    1.13
     abduct
    1.07
     kidnap
    0.98
     kidnapping
    0.97
     abduction
    0.93
     kidn
    0.93
    appings
    0.79
     hitch
    0.77
     hostage
    0.74
    Activations Density 0.011%

    No Known Activations