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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
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    Explanations

    mentions of kidnappings or related activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to kidnapping and kidnappers

    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
    utenberg
    -0.82
    gard
    -0.80
    Cola
    -0.72
    iquette
    -0.71
    cyclop
    -0.65
    acea
    -0.63
     Dynamics
    -0.62
     denomin
    -0.61
    ube
    -0.59
     Glob
    -0.59
    POSITIVE LOGITS
     kidnapped
    1.03
     abducted
    0.99
     kidnap
    0.95
     kidnapping
    0.93
     abduct
    0.90
     abduction
    0.86
    appings
    0.82
     kidn
    0.78
     ransom
    0.75
     hostage
    0.74
    Activations Density 0.017%

    No Known Activations