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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. 4-RES-JB
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    words related to abduction and kidnapping

    oai_token-act-pair · gpt-3.5-turbo

    terms related to abduction and kidnapping

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

    No Comments

    Negative Logits
    iquette
    -0.83
    Cola
    -0.79
    gard
    -0.74
    cyclop
    -0.70
    ider
    -0.70
    utenberg
    -0.67
     brim
    -0.64
    icial
    -0.64
    soType
    -0.64
    pace
    -0.63
    POSITIVE LOGITS
     abduct
    1.00
     abducted
    1.00
     kidnapped
    0.96
     abduction
    0.93
     kidnapping
    0.91
     kidnap
    0.89
    appings
    0.85
     hitch
    0.77
     kidn
    0.77
     victims
    0.76
    Activations Density 0.013%

    No Known Activations