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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. 7-RES-JB
    11. 8548
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    Explanations

    mentions of acts related to 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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iquette
    -0.94
    Cola
    -0.75
    ¯¯¯¯
    -0.72
    gard
    -0.71
    é¾įåĸļ士
    -0.68
    HUD
    -0.66
    gae
    -0.65
    pace
    -0.65
    icial
    -0.64
    ience
    -0.63
    POSITIVE LOGITS
     ransom
    0.92
     kidnapped
    0.89
    appings
    0.87
     victims
    0.85
     kidnap
    0.84
     abducted
    0.84
     kidnapping
    0.82
     hostage
    0.81
     abduct
    0.78
     hostages
    0.76
    Activations Density 0.036%

    No Known Activations